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Modified Bat Algorithm for Optimal VM’s in Cloud Computing 认领 引用 被引量：4
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作者 Amit Sundas Sumit Badotra +2 位作者 Youseef Alotaibi Saleh Alghamdi Osamah Ibrahim Khalaf 《Computers, Materials & Continua》 SCIE EI 2022年第8期2877-2894,共18页
All task scheduling applications need to ensure that resources are optimally used,performance is enhanced,and costs are minimized.The purpose of this paper is to discuss how to Fitness Calculate Values(FCVs)to provide... All task scheduling applications need to ensure that resources are optimally used,performance is enhanced,and costs are minimized.The purpose of this paper is to discuss how to Fitness Calculate Values(FCVs)to provide application software with a reliable solution during the initial stages of load balancing.The cloud computing environment is the subject of this study.It consists of both physical and logical components(most notably cloud infrastructure and cloud storage)(in particular cloud services and cloud platforms).This intricate structure is interconnected to provide services to users and improve the overall system’s performance.This case study is one of the most important segments of cloud computing,i.e.,Load Balancing.This paper aims to introduce a new approach to balance the load among Virtual Machines(VM’s)of the cloud computing environment.The proposed method led to the proposal and implementation of an algorithm inspired by the Bat Algorithm(BA).This proposed Modified Bat Algorithm(MBA)allows balancing the load among virtual machines.The proposed algorithm works in two variants:MBA with Overloaded Optimal Virtual Machine(MBAOOVM)and Modified Bat Algorithm with Balanced Virtual Machine(MBABVM).MBA generates cost-effective solutions and the strengths of MBA are finally validated by comparing it with Bat Algorithm. 展开更多
关键词 Bat algorithm cloud computing fitness value calculation load balancing modified bat algorithm
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A Novel Self Adaptive Modification Approach Based on Bat Algorithm for Optimal Management of Renewable MG 认领 引用 被引量：5
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作者 Aliasghar Baziar Abdollah Kavoosi-Fard Jafar Zare 《Journal of Intelligent Learning Systems and Applications》 2013年第1期11-18,共8页
In the new competitive electricity market, the accurate operation management of Micro-Grid (MG) with various types of renewable power sources (RES) can be an effective approach to supply the electrical consumers more ... In the new competitive electricity market, the accurate operation management of Micro-Grid (MG) with various types of renewable power sources (RES) can be an effective approach to supply the electrical consumers more reliably and economically. In this regard, this paper proposes a novel solution methodology based on bat algorithm to solve the op- timal energy management of MG including several RESs with the back-up of Fuel Cell (FC), Wind Turbine (WT), Photovoltaics (PV), Micro Turbine (MT) as well as storage devices to meet the energy mismatch. The problem is formulated as a nonlinear constraint optimization problem to minimize the total cost of the grid and RESs, simultaneously. In addition, the problem considers the interactive effects of MG and utility in a 24 hour time interval which would in- crease the complexity of the problem from the optimization point of view more severely. The proposed optimization technique is consisted of a self adaptive modification method compromised of two modification methods based on bat algorithm to explore the total search space globally. The superiority of the proposed method over the other well-known algorithms is demonstrated through a typical renewable MG as the test system. 展开更多
关键词 Renewable Micro-Grid (MG) Renewable Power Sources (RESs) Self Adaptive Modified Bat Algorithm (SAMBA) Nonlinear Constraint Optimization
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基于CF特征提取与MBA-SVDD的滚动轴承故障诊断 认领 引用 被引量：5
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作者 张训杰 袁毅 +1 位作者 李贤均 张敏 《机床与液压》 北大核心 2022年第1期182-188,共7页
针对滚动轴承振动信号呈现出的非平稳特性以及早期故障特征难以提取的问题,提出一种基于变分模态分解与时域、频域值混合的特征提取方法,并利用改进蝙蝠算法(MBA)优化支持向量数据描述(SVDD)的参数,实现对滚动轴承的故障诊断。采用该方... 针对滚动轴承振动信号呈现出的非平稳特性以及早期故障特征难以提取的问题,提出一种基于变分模态分解与时域、频域值混合的特征提取方法,并利用改进蝙蝠算法(MBA)优化支持向量数据描述(SVDD)的参数,实现对滚动轴承的故障诊断。采用该方法对正常振动信号进行变分模态分解,得到模态函数;利用奇异值分解进一步提取模态函数的模态特征,同时提取信号的时域、频域特征与模态特征构造混合特征(CF)实现特征提取;利用改进蝙蝠算法(MBA)对SVDD核函数宽度进行参数寻优,进而构建CF-MBA-SVDD故障诊断模型。利用该模型对不同工况下滚动轴承的各类振动信号进行故障诊断,整体故障识别率均优于其他对比算法。对全寿命周期轴承实验数据进行诊断分析,结果表明:该模型能够较早预警轴承故障,验证了该方法的可靠性和有效性。 展开更多
关键词 变分模态分解 复合特征提取 改进蝙蝠算法(MBA) 支持向量数据描述(SVDD) 故障诊断
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两阶段改进定向蝙蝠优化方法的建筑能耗拆分 认领 引用
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作者 林颖海 刘丽君 雷鹰 《厦门大学学报（自然科学版）》 CAS CSCD 北大核心 2026年第4期679-688,共10页
[目的]为提升建筑能耗分项计量的精度与效率,解决现有方法在约束优化和局部最优方面的不足,提出了一种两阶段改进定向蝙蝠优化方法.[方法]首先利用自适应罚函数法将带约束的能耗拆分问题转化为无约束优化问题,通过动态调整惩罚权重和约... [目的]为提升建筑能耗分项计量的精度与效率,解决现有方法在约束优化和局部最优方面的不足,提出了一种两阶段改进定向蝙蝠优化方法.[方法]首先利用自适应罚函数法将带约束的能耗拆分问题转化为无约束优化问题,通过动态调整惩罚权重和约束处理机制,平衡全局搜索与局部收敛能力;随后采用两阶段搜索策略,第一阶段以自适应罚函数为目标进行全局探索,第二阶段以原始函数为指标进行局部修正,从而避免陷入局部最优.[结果]通过方波模型和逐时负载率模型对办公建筑能耗进行拆分验证,在方波模型中,三项分项(照明插座、暖通空调、特殊区域)的拆分结果均能准确反映能耗趋势;在逐时模型中,主要分项(照明插座与暖通空调)的识别精度达95%以上,且对量级差异显著的分项仍保持一定的鲁棒性.[结论]该方法为建筑能耗间接分项量化提供了高效工具,尤其适用于复杂约束下的优化问题,未来可结合设备运行模式识别技术进一步提升动态适应性. 展开更多
关键词 两阶段改进定向蝙蝠优化方法 建筑能耗分项计量 群智能优化方法
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Robust Deadlock Avoidance Policy for Automated Manufacturing System With Multiple Unreliable Resources 认领 引用 被引量：8
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作者 Jianchao Luo Zhiqiang Liu +1 位作者 Shuogang Wang Keyi Xing 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2020年第3期812-821,共10页
This work studies the robust deadlock control of automated manufacturing systems with multiple unreliable resources. Our goal is to ensure the continuous production of the jobs that only require reliable resources. To... This work studies the robust deadlock control of automated manufacturing systems with multiple unreliable resources. Our goal is to ensure the continuous production of the jobs that only require reliable resources. To reach this goal, we propose a new modified Banker's algorithm(MBA) to ensure that all resources required by these jobs can be freed. Moreover,a Petri net based deadlock avoidance policy(DAP) is introduced to ensure that all jobs remaining in the system after executing the new MBA can complete their processing smoothly when their required unreliable resources are operational. The new MBA together with the DAP forms a new DAP that is robust to the failures of unreliable resources. Owing to the high permissiveness of the new MBA and the optimality of the DAP, it is tested to be more permissive than state-of-the-art control policies. 展开更多
关键词 Automated manufacturing system(AMS) deadlock avoidamce policy(DAP) modified Banker's algorithm(MBA) Petrinet
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刮板输送机S弯区域水平弯曲角优化研究 认领 引用 被引量：1
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作者 魏大栋 《机械管理开发》 2022年第8期35-36,41,共2页
为解决实际生产中由于S弯区域水平弯曲角角度过大所导致的能耗增大、磨损严重等问题,在对刮板输送机基本结构和S弯区域水平弯曲角形成机理研究的基础上,完成了S弯区域水平弯曲角优化系统结构的总体设计,并选用最有效的MBA改进蝙蝠优化... 为解决实际生产中由于S弯区域水平弯曲角角度过大所导致的能耗增大、磨损严重等问题,在对刮板输送机基本结构和S弯区域水平弯曲角形成机理研究的基础上,完成了S弯区域水平弯曲角优化系统结构的总体设计,并选用最有效的MBA改进蝙蝠优化算法进行优化。实际应用表明,S弯区域水平弯曲角优化后,刮板输送机每年可节约电费约72万元,刮板输送机链轮组件的使用寿命可延长至18个月。 展开更多
关键词 刮板输送机 水平弯曲角 MBA 蝙蝠优化算法 链轮组件
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