Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems

作     者：Shabani, Amir Asgarian, Behrouz Salido, Miguel Gharebaghi, Saeed Asil 

作者机构：KN Toosi Univ Technol Fac Civil Engn Tehran Iran Univ Politecn Valencia Inst Automat & Informat Ind Valencia Spain 

出 版 物：《EXPERT SYSTEMS WITH APPLICATIONS》 (专家系统及其应用)

年 卷 期：2020年第161卷

页      面：113698-113698页

核心收录：

学科分类：1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Constrained optimization Engineering optimization problems Search and rescue optimization algorithm Metaheuristic algorithms 

摘      要：A new optimization method namely the Search and Rescue optimization algorithm (SAR) is presented here to solve constrained engineering optimization problems. This metaheuristic algorithm imitates the explorations behavior of humans during search and rescue operations. The e-constrained method is utilized as a constraint-handling technique. Besides, a restart strategy is proposed to avoid local infeasible minima in some complex constrained optimization problems. SAR is applied to solve 18 benchmark constraint functions presented in CEC 2010, 13 benchmark constraint functions, and 7 constrained engineering design problems reported in the specialized literature. The performance of SAR is compared with some state-of-the-art optimization algorithms. According to the statistical comparison results, the performance of SAR is better or highly competitive against the compared algorithms on most of the studied problems. (c) 2020 Elsevier Ltd. All rights reserved.