文献类型：期刊文献

英文题名：An effective fireworks algorithm for warehouse-scheduling problem

作者：Ye, Sengang[1];Ma, Haiping[1,2];Xu, Sheng[2];Yang, Wenqiang[3];Fei, Minrui[2]

机构：[1]Shaoxing Univ, Dept Elect Engn, Shaoxing, Zhejiang, Peoples R China;[2]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai, Peoples R China;[3]Henan Normal Univ, Sch Comp & Informat Engn, Xinxiang, Henan, Peoples R China

年份：2017

卷号：39

期号：1

起止页码：75

外文期刊名：TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

收录：SCI-EXPANDED(收录号：WOS:000394087300007)、、EI(收录号：20170403284912)、Scopus(收录号：2-s2.0-85010224359)、WOS

基金：This material is based upon work supported by the National Natural Science Foundation of China under Grant No. 61305078, 61074032 and 61179041, and the Shaoxing City Public Technology Applied Research Project under Grant No. 2013B70004.

语种：英文

外文关键词：Fireworks algorithm; heuristic algorithm; local search; travel time analysis; warehouse scheduling

外文摘要：This paper proposes an effective fireworks algorithm (FWA), which is a new heuristic algorithm inspired by the phenomenon of a fireworks display, to solve the warehouse-scheduling problem. First, a real-world warehouse-scheduling problem is described in detail, and it is formulated as a constrained single-objective optimization problem. Then an effective FWA, FWA-LSCM, is developed by combining with a local search method and chaotic mutation, which are used to balance the exploration and exploitation of FWA. The experimental results show that FWA-LSCM is a competitive algorithm for a set of 2013 Congress on Evolutionary Computation (CEC) benchmark functions. Finally, the proposed FWA-LSCM is successfully applied to the warehouse-scheduling problem and outperforms other FWA algorithms studied in this paper.