Studies on Microhabitat ACO for application to JSSP

机译：微生境ACO在JSSP中的应用研究

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Through parallel and diversified optimizing activities in ant colony, Microhabitat Ant Colony Optimization Stratagem (MACOS) was advanced to improve the basic ACO from diversity of pheromones distribution, ant pheromone update strategy and diversity of information exchange. Basic Scheduling Rules of Ants (BSRA)was built up based on the characteristics of JSSP. Ant Colony Optimization Scheduling Rules (MACO SR) were built up based on MACOS to solve JSSP and improve BSRA. And waiting time was integrated into the heuristic function and path updating of MACO SR. It proves that MACO SR can achieve more satisfactory results than basic ACO and BSRA for JSSP with the objects function of minimizes the makespan.

机译：通过并行和多样化的蚁群优化活动，提出了微栖息地蚁群优化策略（MACOS），从信息素分布的多样性，蚂蚁信息素更新策略和信息交换的多样性来改善基本的ACO。根据JSSP的特点，建立了蚂蚁基本调度规则（BSRA）。建立了基于MACOS的蚁群优化调度规则（MACO SR），以解决JSSP问题并改进BSRA。并且将等待时间集成到MACO SR的启发式功能和路径更新中。事实证明，MACO SR的目标功能是最小化制造时，其性能比JSSP的基本ACO和BSRA更好。

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来源
《2010 International Conference on Logistics Systems and Intelligent Management》|2010年|P.1851-1855|共5页
会议地点 Harbin(CN)
作者
Yi Gan; Zhi-wei Zhang; Sheng L I;
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作者单位

College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;

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原文格式 PDF
正文语种 eng
中图分类物资流通;
关键词
Job Shop Scheduling Problem; Microhabitat ant Colony Optimization; Scheduling Rules;

机译：车间作业调度问题；微生境优化；调度规则;

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Studies on Microhabitat ACO for application to JSSP

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