Research on Enhanced Arithmetic Optimization Algorithm for Joint Replenishment and Delivery Problem
The individual information utilization rate of arithmetic optimization algorithm(AOA)is low and AOA is easy to fall into local optimal.This study used information exchange strategy and combined sine cosine algorithm(SCA),designed an enhanced arithmetic optimization algorithm(Enhanced AOA,EAOA)based on SCA to improve the ability of the AOA algorithm.The standard benchmark functions were used to test the performance of EAOA.The results show that the designed EAOA is more effective than the genetic algorithm,differential evolution algorithm,and standard arithmetic optimization algorithm.To solve large-scale joint replenishment and delivery problems,EAOA obtained a lower total cost than genetic algorithm,differential evo-lution algorithm,and standard arithmetic optimization algorithm.
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