Flexible genetic algorithm: A simple and generic approach to node placement problems

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• 作者：Yu-Hui Zhang^a ; ^b ; Yue-Jiao Gong^b ; ^{gongyuejiao@gmail.com} ; Tian-Long Gu^c ; Yun Li^d ; Jun Zhang^b ; ^{junzhang@ieee.org}
• 关键词：Genetic algorithm (GA) ; Node placement problem (NPP) ; RFID network planning (RNP) ; Variable-length encoding ; Wind farm layout optimization (WFLO)
• 刊名：Applied Soft Computing
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：52
• 期：Complete
• 页码：457-470
• 全文大小：2426 K
• 卷排序：52

文摘

Provide a generic framework for describing node placement problems. Propose a flexible genetic algorithm for solving a variety of node placement problems. Devise a novel crossover operator capable of adjusting the number of deployed nodes. Application to wind farm layout optimization and RFID network planning problems.