An Encoding Strategy of Swarm Intelligence Algorithms for Solving the Set-covering Location-allocation Problem with Collaborative Inventory

4th International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Liang, Xiaolei^1 ; Sun, Yuan^1 ; Kexing, Tang^1 ; Lilan, Zheng^1

School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan, Hubei

430081, China^1

关键词: Continuous problems;    Encoding strategy;    Location allocation problem;    Search efficiency;    Set coverings;    Swarm intelligence algorithms;    Swarm intelligence optimization algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/237/5/052048/pdf
DOI  :  10.1088/1755-1315/237/5/052048

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper proposed a navel encoding strategy with multiple segments of swarm intelligence optimization algorithms to solve the set-covering location-allocation problem with collaborative inventory. It divided an individual expression into several segments and then decoded the location and allocation information. By this encoding strategy, the discrete and continuous problems can be analysed simultaneously. It could improve the search efficiency of the swarm intelligence optimization algorithms to solve the problem. The experiment results showed that the strategy was viable and could be applied for the selected algorithms to optimize the set-covering location-allocation problem with collaborative inventory.