Intelligent-guided adaptive search for the maximum covering location problem

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• 作者：Viní ; cius R. Má ; ximop>ap>p> ; p>p>vinymax10@gmail.comp> ; Mariá ; C.V. Nascimentop>ap>p> ; p>p>mcv.nascimento@unifesp.brp> ; André ; C.P.L.F. Carvalhop>bp>p> ; p>p>andre@icmc.usp.brp>
• 关键词：Intelligent guided adaptive search ; Maximum covering location problem ; Metaheuristic ; Growing neural gas
• 刊名：Computers & Operations Research
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：78
• 期：Complete
• 页码：129-137
• 全文大小：473 K
• 卷排序：78

文摘

IGAS has a learning stage based on the mapping of solutions into a GNG network. IGAS provides an efficient solution to the maximum covering facility location problem. IGAS was better than the solutions obtained by popular methods from the literature.