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An Adaptive Imperialist Competitive Algorithm with Cooperation for Flexible Jobshop and Parallel Batch Processing Machine Scheduling 认领 引用
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作者 Jie Wang Deming Lei 《Computers, Materials & Continua》 SCIE EI 2026年第6期1934-1960,共27页
Both flexible jobshop scheduling and parallel batch processing machine scheduling have been extensively considered;however,the flexible jobshop and parallel batch processing machine scheduling problem(FJPBPMSP)is prev... Both flexible jobshop scheduling and parallel batch processing machine scheduling have been extensively considered;however,the flexible jobshop and parallel batch processing machine scheduling problem(FJPBPMSP)is prevalent in real-life manufacturing processes and is seldom investigated.In this study,FJPBPMSP is examined,where flexible processing and batch processing are performed sequentially.An adaptive imperialist competitive algorithm with cooperation(CAICA)is proposed to minimize makespan and total energy consumption simultaneously.In CAICA,a four-string representation is adopted,and initial empires with novel structures are formed by uniformly dividing the population.An adaptive assimilation and revolution are designed.An adaptive assimilation and revolution are designed.An adaptive imperialist competition with cooperation is provided.Search strategies,imperialists,and colonies are also renewed by new procedures.Computational experiments are conducted on 50 instances.The computational results show that the new strategies of CAICA are effective,and CAICA can provide better results than its comparative algorithms in solving FJPBPMSP. 展开更多
关键词 Flexible jobshop scheduling parallel batch processing scheduling imperialist competition algorithm cooperation
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Optimization of a crude distillation unit using a combination of wavelet neural network and line-up competition algorithm 认领 引用 被引量：3
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作者 Bin Shi Xu Yang Liexiang Yan 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2017年第8期1013-1021,共9页
The modeling and optimization of an industrial-scale crude distillation unit （CDU） are addressed. The main spec- ifications and base conditions of CDU are taken from a crude oil refinery in Wuhan, China. For modelin... The modeling and optimization of an industrial-scale crude distillation unit （CDU） are addressed. The main spec- ifications and base conditions of CDU are taken from a crude oil refinery in Wuhan, China. For modeling of a com- plicated CDU, an improved wavelet neural network （WNN） is presented to model the complicated CDU, in which novel parametric updating laws are developed to precisely capture the characteristics of CDU. To address CDU in an economically optimal manner, an economic optimization algorithm under prescribed constraints is presented. By using a combination of WNN-based optimization model and line-up competition algorithm （LCA）, the supe- rior performance of the proposed approach is verified. Compared with the base operating condition, it is validat- ed that the increments of products including kerosene and diesel are up to 20% at least by increasing less than 5% duties of intermediate coolers such as second pump-around （PA2） and third Dump-around （PA3）. 展开更多
关键词 Crude oil distillation Wavelet neural network Line-up competition algorithm Optimization
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Tele-Network Design Based on Queue Competition Algorithm 认领 引用 被引量：12
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作者 Huang Zhang-can, Wan Li-jun, Tang Tao, Chen Zheng-xuState Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, Hubei, ChinaSchool of Material Science and Engineering, Wuhan University of Technology , Wuhan 430070, Hubei, ChinaSchool of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, ChinaSchool of Science, Wuhan University of Technology, Wuhan 430070, Hubei, China 《Wuhan University Journal of Natural Sciences》 EI CAS 2003年第S1期327-330,共4页
In this paper, we report research on how to design the tele-network. First of all, we defined the reliability of tele-network. According to the definition, we divide the whole reliability into two parts:the reliabilit... In this paper, we report research on how to design the tele-network. First of all, we defined the reliability of tele-network. According to the definition, we divide the whole reliability into two parts:the reliability of the mini-way and that of the whole system. Then we do algebra unintersection of the mini-way, deriving a function of reliability of tele-network. Also, we got a function of the cost of tele-network after analyzing the cost of arcs and points. Finally, we give a mathematical model to design a tele-network. For the algorithm, we define the distance of a network and adjacent area within certain boundaries . We present a new algorithm--Queue Competition Algorithm (QCA) based on the adjacent area . The QCA correlates sequence of fitnesses in their father-generations with hunting zone of mutation and the number of individuals generated by mutation, making the stronger fitness in a small zone converge at a local extreme value, but the weaker one takes the advantage of lots of individuals and a big zone to hunt a new local extreme value. In this way, we get the overall extreme value. Numerical simulation shows that we can get the efficient hunting and exact solution by using QCA. The QCA efficient hunting and exact solution. 展开更多
关键词 reliability Queue Competition algorithm the distance of a network adjacent area
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A Cooperated Imperialist Competitive Algorithm for Unrelated Parallel Batch Machine Scheduling Problem 认领 引用 被引量：2
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作者 Deming Lei Heen Li 《Computers, Materials & Continua》 SCIE EI 2024年第5期1855-1874,共20页
This study focuses on the scheduling problem of unrelated parallel batch processing machines(BPM)with release times,a scenario derived from the moulding process in a foundry.In this process,a batch is initially formed... This study focuses on the scheduling problem of unrelated parallel batch processing machines(BPM)with release times,a scenario derived from the moulding process in a foundry.In this process,a batch is initially formed,placed in a sandbox,and then the sandbox is positioned on a BPM formoulding.The complexity of the scheduling problem increases due to the consideration of BPM capacity and sandbox volume.To minimize the makespan,a new cooperated imperialist competitive algorithm(CICA)is introduced.In CICA,the number of empires is not a parameter,and four empires aremaintained throughout the search process.Two types of assimilations are achieved:The strongest and weakest empires cooperate in their assimilation,while the remaining two empires,having a close normalization total cost,combine in their assimilation.A new form of imperialist competition is proposed to prevent insufficient competition,and the unique features of the problem are effectively utilized.Computational experiments are conducted across several instances,and a significant amount of experimental results show that the newstrategies of CICAare effective,indicating promising advantages for the considered BPMscheduling problems. 展开更多
关键词 Release time assimilation imperialist competitive algorithm batch processing machines scheduling
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第二届CCF算法能力大赛总决赛&算法大会合作征集 认领 引用
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《计算》 CAS 2026年第2期17-17,共1页
CCF算法能力大赛(China Algorithm Capability Competition,CACC)是一项面向在校大学生和从业工程师的算法竞赛,由中国计算机学会(CCF)创建,主要考查参赛选手的基础算法、专业算法、工程算法能力,旨在引导参赛选手提升编程、算法设计、... CCF算法能力大赛(China Algorithm Capability Competition,CACC)是一项面向在校大学生和从业工程师的算法竞赛,由中国计算机学会(CCF)创建,主要考查参赛选手的基础算法、专业算法、工程算法能力,旨在引导参赛选手提升编程、算法设计、建模及应用算法解决实际问题的能力。 展开更多
关键词 China Algorithm Capability Competition
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Modified imperialist competitive algorithm-based neural network to determine shear strength of concrete beams reinforced with FRP 认领 引用 被引量：7
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作者 Amir HASANZADE-INALLU Panam ZARFAM Mehdi NIKOO 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第11期3156-3174,共19页
Fiber reinforced polymers (FRPs), unlike steel, are corrosion-resistant and therefore are of interest;however, their use is hindered because their brittle shear is formulated in most specifications using limited data ... Fiber reinforced polymers (FRPs), unlike steel, are corrosion-resistant and therefore are of interest;however, their use is hindered because their brittle shear is formulated in most specifications using limited data available at the time. We aimed to predict the shear strength of concrete beams reinforced with FRP bars and without stirrups by compiling a relatively large database of 198 previously published test results (available in appendix). To model shear strength, an artificial neural network was trained by an ensemble of Levenberg-Marquardt and imperialist competitive algorithms. The results suggested superior accuracy of model compared to equations available in specifications and literature. 展开更多
关键词 concrete shear strength fiber reinforced polymer (FRP) artificial neural networks (ANNs) Levenberg-Marquardt algorithm imperialist competitive algorithm (ICA)
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Imperialistic Competitive Algorithm:A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes 认领 引用 被引量：5
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作者 Ali Reza Kashani Amir Hossein Gandomi Mehdi Mousavi 《Geoscience Frontiers》 SCIE CAS CSCD 2016年第1期83-89,共7页
In this study, Imperialistic Competitive Algorithm（ICA） is utilized for locating the critical failure surface and computing the factor of safety（FOS） in a slope stability analysis based on the limit equilibrium ap... In this study, Imperialistic Competitive Algorithm（ICA） is utilized for locating the critical failure surface and computing the factor of safety（FOS） in a slope stability analysis based on the limit equilibrium approach. The factor of safety relating to each trial slip surface is calculated using a simplified algorithm of the Morgenstern-Price method, which satisfies both the force and the moment equilibriums. General slip surface is considered non-circular in this study that is constituted by linking random straight lines.To explore the performance of the proposed algorithm, four benchmark test problems are analyzed. The results demonstrate that the present techniques can provide reliable, accurate and efficient solutions for locating the critical failure surface and relating FOS. Moreover, in contrast with previous studies the present algorithm could reach the lower value of FOS and reached more exact solutions. 展开更多
关键词 Meta-heuristic algorithms Morgen-stern and price method Non-circular slip surface Imperialistic competitive algorithm
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Optimal Allocation of STATCOM to Enhance Transient Stability Using Imperialist Competitive Algorithm 认领 引用
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作者 Ayman Amer Firas MMakahleh +4 位作者 Jafar Ababneh Hani Attar Ahmed Amin Ahmed Solyman Mehrdad Ahmadi Kamarposhti Phatiphat Thounthong 《Intelligent Automation & Soft Computing》 SCIE 2023年第6期3425-3446,共22页
With the daily expansion of global energy consumption,developing the power grids is of uttermost importance.However,building a new trans-mission line is costly and time-consuming,so utilizing the same lines with possi... With the daily expansion of global energy consumption,developing the power grids is of uttermost importance.However,building a new trans-mission line is costly and time-consuming,so utilizing the same lines with possible higher transmission capacity is very cost-effective.In this regard,to increase the capacity of the transmission lines,the flexible alternating current transmission system(FACTS)has been widely used in power grids in recent years by industrialized countries.One of the essential topics in electrical power systems is the reactive power compensation,and the FACTS plays a significant role in controlling the reactive power current in the power grid and the system voltage oscillations and stability.When a static synchronous compensator(STATCOM)is embedded in a power system to increase the bus voltage,a supplementary damping controller can be designed to enhance the system oscillation damping.Given the expansion of the grids in the power system,the complexity of their optimization and the extraordinary ability of the imperialist competitive algorithm(ICA)for solving such problems,in this paper,the ICA has been used to determine the optimal position and size of the FACTS devices. 展开更多
关键词 STATCOM FACTS optimization transient stability imperialist competitive algorithm
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Diagnosis of Autism Spectrum Disorder by Imperialistic Competitive Algorithm and Logistic Regression Classifier 认领 引用
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作者 Shabana R.Ziyad Liyakathunisa +1 位作者 Eman Aljohani I.A.Saeed 《Computers, Materials & Continua》 SCIE EI 2023年第11期1515-1534,共20页
Autism spectrum disorder(ASD),classified as a developmental disability,is now more common in children than ever.A drastic increase in the rate of autism spectrum disorder in children worldwide demands early detection ... Autism spectrum disorder(ASD),classified as a developmental disability,is now more common in children than ever.A drastic increase in the rate of autism spectrum disorder in children worldwide demands early detection of autism in children.Parents can seek professional help for a better prognosis of the child’s therapy when ASD is diagnosed under five years.This research study aims to develop an automated tool for diagnosing autism in children.The computer-aided diagnosis tool for ASD detection is designed and developed by a novel methodology that includes data acquisition,feature selection,and classification phases.The most deterministic features are selected from the self-acquired dataset by novel feature selection methods before classification.The Imperialistic competitive algorithm(ICA)based on empires conquering colonies performs feature selection in this study.The performance of Logistic Regression(LR),Decision tree,K-Nearest Neighbor(KNN),and Random Forest(RF)classifiers are experimentally studied in this research work.The experimental results prove that the Logistic regression classifier exhibits the highest accuracy for the self-acquired dataset.The ASD detection is evaluated experimentally with the Least Absolute Shrinkage and Selection Operator(LASSO)feature selection method and different classifiers.The Exploratory Data Analysis(EDA)phase has uncovered crucial facts about the data,like the correlation of the features in the dataset with the class variable. 展开更多
关键词 Autism spectrum disorder feature selection imperialist competitive algorithm LASSO logistic regression random forest
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Evolutionary algorithm for optimization of multilayer coatings 认领 引用
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作者 Mahdi Ebrahimi Mohsen Ghasemi Zeinab Sajjadi 《Chinese Physics B》 SCIE EI CAS CSCD 2018年第10期531-536,共6页
In this paper, a new evolutionary algorithm, the well-known imperialist competition algorithm, is proposed for optimizing the optical thin-films. In this method, the process is modeled of the competition between count... In this paper, a new evolutionary algorithm, the well-known imperialist competition algorithm, is proposed for optimizing the optical thin-films. In this method, the process is modeled of the competition between countries as imperialists and their colonizing of others as colonies. This algorithm could be an appropriate alternative to some of the more popular algorithms for optimizing the optical thin-films for good performance. The polarizer and edge filter for example are designed by using the imperialist competition algorithm method and the results are compared with those from two optimization high-performance methods： the genetic algorithm and differential evolutionary algorithm. Based on these results,the performance of the imperialist competition algorithm method shows that this algorithm is not sensitive to the change of its parameters and it can be an important advantage for quickly achieving a global optimal point. On the other hand the results show a better ratio of P-polarization transmittance to S-polarization transmittance in the design of a 1540-nm polarizer, which is more appropriate than the results from the other two methods. In the second design, an edge filter with a lower number of layers and more uniform bandpass spectrum than the counterparts of those methods is obtained. These results indicate that the imperialist competition algorithm is a robust method for optical thin-film designs. 展开更多
关键词 multilayers optimization thin-film imperialist competition algorithm
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Fault Attribute Reduction of Oil Immersed Transformer Based on Improved Imperialist Competitive Algorithm 认领 引用
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作者 Li Bian Hui He +1 位作者 Hongna Sun Wenjing Liu 《Journal of Harbin Institute of Technology(New Series)》 CAS 2020年第6期83-90,共8页
The original fault data of oil immersed transformer often contains a large number of unnecessary attributes,which greatly increases the elapsed time of the algorithm and reduces the classification accuracy,leading to ... The original fault data of oil immersed transformer often contains a large number of unnecessary attributes,which greatly increases the elapsed time of the algorithm and reduces the classification accuracy,leading to the rise of the diagnosis error rate.Therefore,in order to obtain high quality oil immersed transformer fault attribute data sets,an improved imperialist competitive algorithm was proposed to optimize the rough set to discretize the original fault data set and the attribute reduction.The feasibility of the proposed algorithm was verified by experiments and compared with other intelligent algorithms.Results show that the algorithm was stable at the 27th iteration with a reduction rate of 56.25%and a reduction accuracy of 98%.By using BP neural network to classify the reduction results,the accuracy was 86.25%,and the overall effect was better than those of the original data and other algorithms.Hence,the proposed method is effective for fault attribute reduction of oil immersed transformer. 展开更多
关键词 transformer fault improved imperialist competitive algorithm rough set attribute reduction BP neural network
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A New Method for Clustering Based on Development of Imperialist Competitive Algorithm 认领 引用
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作者 Mohammad Reza Dehghani Zadeh Mohammad Fathian Mohammad Reza Gholamian 《China Communications》 SCIE CSCD 2014年第12期54-61,共8页
Clustering is one of the most widely used data mining techniques that can be used to create homogeneous clusters.K-means is one of the popular clustering algorithms that,despite its inherent simplicity,has also some m... Clustering is one of the most widely used data mining techniques that can be used to create homogeneous clusters.K-means is one of the popular clustering algorithms that,despite its inherent simplicity,has also some major problems.One way to resolve these problems and improve the k-means algorithm is the use of evolutionary algorithms in clustering.In this study,the Imperialist Competitive Algorithm(ICA)is developed and then used in the clustering process.Clustering of IRIS,Wine and CMC datasets using developed ICA and comparing them with the results of clustering by the original ICA,GA and PSO algorithms,demonstrate the improvement of Imperialist competitive algorithm. 展开更多
关键词 data mining homogeneous cluster imperialist competitive algorithm
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Research on Optimization of Freight Train ATO Based on Elite Competition Multi-Objective Particle Swarm Optimization 认领 引用
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作者 Lingzhi Yi Renzhe Duan +3 位作者 Wang Li Yihao Wang Dake Zhang Bo Liu 《Energy and Power Engineering》 2021年第4期41-51,共11页
In view of the complex problems that freight train ATO (automatic train operation) needs to comprehensively consider punctuality, energy saving and safety, a dynamics model of the freight train operation process is es... In view of the complex problems that freight train ATO (automatic train operation) needs to comprehensively consider punctuality, energy saving and safety, a dynamics model of the freight train operation process is established based on the safety and the freight train dynamics model in the process of its operation. The algorithm of combining elite competition strategy with multi-objective particle swarm optimization technology is introduced, and the winning particles are obtained through the competition between two elite particles to guide the update of other particles, so as to balance the convergence and distribution of multi-objective particle swarm optimization. The performance comparison experimental results verify the superiority of the proposed algorithm. The simulation experiments of the actual line verify the feasibility of the model and the effectiveness of the proposed algorithm. 展开更多
关键词 Freight Train Automatic Train Operation Dynamics Model Competitive Multi-Objective Particle Swarm Optimization Algorithm (CMOPSO) Multi-Objective Optimization
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Variety classification and identification of maize seeds based on hyperspectral imaging method 认领 引用 被引量：1
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作者 XUE Hang XU Xiping MENG Xiang 《Optoelectronics Letters》 EI 2025年第4期234-241,共8页
In this study,eight different varieties of maize seeds were used as the research objects.Conduct 81 types of combined preprocessing on the original spectra.Through comparison,Savitzky-Golay(SG)-multivariate scattering... In this study,eight different varieties of maize seeds were used as the research objects.Conduct 81 types of combined preprocessing on the original spectra.Through comparison,Savitzky-Golay(SG)-multivariate scattering correction(MSC)-maximum-minimum normalization(MN)was identified as the optimal preprocessing technique.The competitive adaptive reweighted sampling(CARS),successive projections algorithm(SPA),and their combined methods were employed to extract feature wavelengths.Classification models based on back propagation(BP),support vector machine(SVM),random forest(RF),and partial least squares(PLS)were established using full-band data and feature wavelengths.Among all models,the(CARS-SPA)-BP model achieved the highest accuracy rate of 98.44%.This study offers novel insights and methodologies for the rapid and accurate identification of corn seeds as well as other crop seeds. 展开更多
关键词 feature extraction extract feature wavelengthsclassification models variety classification hyperspectral imaging combined preprocessing competitive adaptive reweighted sampling cars successive projections algorithm spa preprocessing maize seeds
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Optimizing Stand-Alone PV Systems:A Metaheuristic-Enhanced Fuzzy Approach for Adaptive MPPT 认领 引用
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作者 Tina Samavat Mostafa Nazari +1 位作者 Lin Fuhong Lei Yang 《China Communications》 SCIE EI CSCD 2025年第1期61-74,共14页
This paper introduces a simple yet effective approach for developing fuzzy logic controllers(FLCs)to identify the maximum power point(MPP)and optimize the photovoltaic(PV)system to extract the maximum power in differe... This paper introduces a simple yet effective approach for developing fuzzy logic controllers(FLCs)to identify the maximum power point(MPP)and optimize the photovoltaic(PV)system to extract the maximum power in different environmental conditions.We propose a robust FLC with low computational complexity by reducing the number of membership functions and rules.To optimize the performance of the FLC,metaheuristic algorithms are employed to determine the parameters of the FLC.We evaluate the proposed FLC in various panel configurations under different environmental conditions.The results indicate that the proposed FLC can easily adapt to various panel configurations and perform better than other benchmarks in terms of enhanced stability,responsiveness,and power transfer under various scenarios. 展开更多
关键词 genetic algorithm imperialist competitive algorithm invasive weed algorithm maximum power point tracking
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Hourly traffic flow forecasting using a new hybrid modelling method 认领 引用 被引量：16
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作者 LIU Hui ZHANG Xin-yu +2 位作者 YANG Yu-xiang LI Yan-fei YU Cheng-qing 《Journal of Central South University》 SCIE EI CAS CSCD 2022年第4期1389-1402,共14页
Short-term traffic flow forecasting is a significant part of intelligent transportation system.In some traffic control scenarios,obtaining future traffic flow in advance is conducive to highway management department t... Short-term traffic flow forecasting is a significant part of intelligent transportation system.In some traffic control scenarios,obtaining future traffic flow in advance is conducive to highway management department to have sufficient time to formulate corresponding traffic flow control measures.In hence,it is meaningful to establish an accurate short-term traffic flow method and provide reference for peak traffic flow warning.This paper proposed a new hybrid model for traffic flow forecasting,which is composed of the variational mode decomposition(VMD)method,the group method of data handling(GMDH)neural network,bi-directional long and short term memory(BILSTM)network and ELMAN network,and is optimized by the imperialist competitive algorithm(ICA)method.To illustrate the performance of the proposed model,there are several comparative experiments between the proposed model and other models.The experiment results show that 1)BILSTM network,GMDH network and ELMAN network have better predictive performance than other single models;2)VMD can significantly improve the predictive performance of the ICA-GMDH-BILSTM-ELMAN model.The effect of VMD method is better than that of EEMD method and FEEMD method.To conclude,the proposed model which is made up of the VMD method,the ICA method,the BILSTM network,the GMDH network and the ELMAN network has excellent predictive ability for traffic flow series. 展开更多
关键词 traffic flow forecasting intelligent transportation system imperialist competitive algorithm variational mode decomposition group method of data handling bi-directional long and short term memory ELMAN
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Modeling and Optimization for Short-term Scheduling of Multipurpose Batch Plants 认领 引用 被引量：6
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作者 陈国辉 鄢烈祥 史彬 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2014年第6期682-689,共8页
In the past two decades, short-term scheduling of multipurpose batch plants has received significant attention. Most scheduling problems are modeled using either state-task-network or resource-task-network(RTN) proces... In the past two decades, short-term scheduling of multipurpose batch plants has received significant attention. Most scheduling problems are modeled using either state-task-network or resource-task-network(RTN) process representation. In this paper, an improved mixed integer linear programming model for short-term schedul-ing of multipurpose batch plants under maximization of profit is proposed based on RTN representation and unit-specific events. To solve the model, a hybrid algorithm based on line-up competition algorithm and linear programming is presented. The proposed model and hybrid algorithm are applied to two benchmark examples in literature. The simulation results show that the proposed model and hybrid algorithm are effective for short-term scheduling of multipurpose batch plants. 展开更多
关键词 batch plants resource-task-network unit-specific event line-up competition algorithm linear programming
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Selective harmonic elimination method for wide range of modulation indexes in multilevel inverters using ICA 认领 引用
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作者 Ali Ajami Mohammad Reza Jannati Oskuee +1 位作者 Ataollah Mokhberdoran Hossein Shokri 《Journal of Central South University》 SCIE EI CAS 2014年第4期1329-1338,共10页
Selective harmonic elimination(SHE) in multilevel inverters is an intricate optimization problem that involves a set of nonlinear transcendental equations which have multiple local minima. A new advanced objective fun... Selective harmonic elimination(SHE) in multilevel inverters is an intricate optimization problem that involves a set of nonlinear transcendental equations which have multiple local minima. A new advanced objective function with proper weighting is proposed and also its efficiency is compared with the objective function which is more similar to the proposed one. To enhance the ability of the SHE in eliminating high number of selected harmonics, at each level of the output voltage, one slot is created. The SHE problem is solved by imperialist competitive algorithm(ICA). The conventional SHE methods cannot eliminate the selected harmonics and satisfy the fundamental component in some ranges of modulation indexes. So, to surmount the SHE defect, a DC-DC converter is applied. Theoretical results are substantiated by simulations and experimental results for a 9-level multilevel inverter. The obtained results illustrate that the proposed method successfully minimizes a large number of identified harmonics which consequences very low total harmonic distortion of output voltage. 展开更多
关键词 selective harmonic elimination DC-DC converter imperialist competitive algorithm（ICA）
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Competitive adaptive reweighted sampling algorithm identifies HIF-1α-regulated protein markers governing early energy metabolism in post-slaughter Tan sheep meat 认领 引用 被引量：1
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作者 Shuang Gao Chen Ji +3 位作者 Jiarui Cui Yongrui Wang Yulong Luo Ruiming Luo 《Food Quality and Safety》 SCIE CAS CSCD 2025年第3期550-560,共11页
This study investigated hypoxia-inducible factor(HIF)-1α-mediated proteomic changes in post-slaughter Tan sheep skeletal muscle and identified energy metabolism biomarkers using the competitive adaptive reweighted sa... This study investigated hypoxia-inducible factor(HIF)-1α-mediated proteomic changes in post-slaughter Tan sheep skeletal muscle and identified energy metabolism biomarkers using the competitive adaptive reweighted sampling(CARS)algorithm.HIF-1αinhibition during early storage attenuated pH decline and significantly increased total colour change(ΔE)(P<0.05)while reducing myofibril fragmentation compared with controls.Proteomic profiling identified 257 differentially expressed proteins enriched in adenosine 5’-monophosphate(AMP)-activated protein kinase(AMPK),glycolysis,and HIF-1 signalling pathways.CARS analysis highlighted lactate dehydrogenase A(LDHA),phosphoglycerate kinase 1(PGK1;glycolytic enzyme),heat shock protein beta-6(HSPB6),and heat shock protein 90 kDa beta 1(HSP90B1)as key energy metabolism biomarkers.The results suggested that HIF-1 stabilised ATP production under hypoxia conditions by suppressing glycogen synthesis,enhancing glycolysis,modulating HSP activity to preserve cellular homeostasis,and influencing cytoskeletal proteins,thereby affecting meat quality.These results provide novel insights into post-mortem muscle energy metabolism regulation and potential targets for meat quality optimisation. 展开更多
关键词 Tan sheep meat hypoxia-inducible factor-1α(HIF-1α) proteomics competitive adaptive reweighted sampling(CARS)algorithm energy metabolism
Power Maximization of A Point Absorber Wave Energy Converter Using Improved Model Predictive Control 认领 引用 被引量：3
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作者 Farideh MILANI Reihaneh Kardehi MOGHADDAM 《China Ocean Engineering》 SCIE EI CSCD 2017年第4期510-516,共7页
This paper considers controlling and maximizing the absorbed power of wave energy converters for irregular waves. With respect to physical constraints of the system, a model predictive control is applied. Irregular wa... This paper considers controlling and maximizing the absorbed power of wave energy converters for irregular waves. With respect to physical constraints of the system, a model predictive control is applied. Irregular waves’ behavior is predicted by Kalman filter method. Owing to the great influence of controller parameters on the absorbed power, these parameters are optimized by imperialist competitive algorithm. The results illustrate the method’s efficiency in maximizing the extracted power in the presence of unknown excitation force which should be predicted by Kalman filter. 展开更多
关键词 wave energy converter Kalman filter model predictive control imperialist competitive algorithm
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