Neutrosophic Adaptive Clustering Optimization in Genetic Algorithm and Its Application in Cubic Assignment Problem  

作　　者：Fangwei Zhang Shihe Xu Bing Han Liming Zhang Jun Ye 

机构地区：[1]School of Navigation and Shipping,Shandong Jiaotong University,Weihai,264209,China [2]College of Transport and Communications,Shanghai Maritime University,Shanghai,201306,China [3]School of Mathematics and Statistics,Zhaoqing University,Zhaoqing,526061,China [4]School of Business,Shandong Normal University,Jinan,250358,China [5]School of Civil and Environmental Engineering,Ningbo University,Ningbo,315211,China

出　　处：《Computer Modeling in Engineering & Sciences》2023年第3期2211-2226,共16页工程与科学中的计算机建模（英文）

基　　金：supported by Shanghai Pujiang Pro-gram(2019PJC062);the Natural Science Foundation of Shandong Province(ZR2021MG003);the Research Project on Undergraduate Teaching Reform of Higher Education in Shandong Province(No.Z2021046);the National Natural Science Foundation of China(51508319);the Nature and Science Fund from Zhejiang Province Ministry of Education(Y201327642).

摘　　要：In optimization theory,the adaptive control of the optimization process is an important goal that people pursue.To solve this problem,this study introduces the idea of neutrosophic decision-making into classical heuristic algorithm,and proposes a novel neutrosophic adaptive clustering optimization thought,which is applied in a novel neutrosophic genetic algorithm(NGA),for example.The main feature of NGA is that the NGA treats the crossover effect as a neutrosophic fuzzy set,the variation ratio as a structural parameter,the crossover effect as a benefit parameter and the variation effect as a cost parameter,and then a neutrosophic fitness function value is created.Finally,a high order assignment problem in warehousemanagement is taken to illustrate the effectiveness of NGA.

关 键 词：Neutrosophic fuzzy set heuristic algorithm genetic algorithm intelligent control warehouse operation 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]