Integration of process planning and scheduling using chaotic particle swarm optimization algorithm
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- 作者：Milica Petrovića ; mmpetrovic@mas.bg.ac.rs" class="auth_mail" title="E-mail the corresponding author ; Najdan Vukovićb ; nvukovic@mas.bg.ac.rs" class="auth_mail" title="E-mail the corresponding author ; Marko Mitićc ; mmitic@mas.bg.ac.rs" class="auth_mail" title="E-mail the corresponding author ; Zoran Miljkovićd ; zmiljkovic@mas.bg.ac.rs" class="auth_mail" title="E-mail the corresponding author
- 关键词：Process planning ; Scheduling ; Integrated process planning and scheduling ; Particle swarm optimization ; Chaos theory ; Mobile robot
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：1 December 2016
- 年：2016
- 卷：64
- 期：Complete
- 页码：569-588
- 全文大小：3041 K
文摘
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Chaotic PSO algorithm is proposed to solve NP-hard IPPS problem.
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Ten chaotic maps are implemented to avoid premature convergence to local optimum.
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Makespan, balanced level of machine utilization and mean flow time are observed.
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Five experimental studies show that cPSO outperforms GA, SA, and hybrid algorithm.
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Scheduling plans are tested by mobile robot within a laboratory environment.