.png){kind=icon}
返回
Multi-objective System Design Optimization via PPA and a Fuzzy Method
.png){kind=icon}
OA
AI
DOI：10.1007/s40815-021-01068-z.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
System design deals with various challenges of targets and resources, such as reliability, availability, maintainability, cost, weight, volume, and configuration. This paper deals with the multi-objective system availability and cost optimization of parallel-series systems by resorting to the multi-objective strawberry algorithm also known as the Plant Propagation Algorithm or PPA and a fuzzy method. It is the first implementation of this optimization algorithm in the literature for this kind of problem to generate the Pareto Front. The fuzzy method allows helping the decision maker to select the best compromise solution. A numerical case study involving 10 subsystems highlights the applicability of the proposed approach.
Keyword:
Multi-objective system design
Availability
Cost
Parallel– series system
Plant Propagation Algorithm
Fuzzy method
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
2.2K
被引数:
4.3K
机构
引用论文
.png){kind=icon}
Automatic selection of a single solution from the Pareto front to identify key players in social networks从帕累托前沿自动选择单一解决方案，以识别社交网络中的关键参与者
PREAI
分享收藏A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems解决环境/经济调度问题的多目标进化算法综述
PREAI
分享收藏
查看更多内容