Shuffled shepherd optimization method: a new Meta-heuristic algorithm

被引:107
作者
Kaveh, Ali [1 ]
Zaerreza, Ataollah [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Civil Engn, Tehran, Iran
关键词
Shuffled shepherd optimization algorithm; Sheep; Shepherd; Meta-heuristic; Optimization; Mathematical bench mark; Truss structures optimization; PARTICLE SWARM; MULTIOBJECTIVE OPTIMIZATION; DIFFERENTIAL EVOLUTION; WHALE OPTIMIZATION; OPTIMAL-DESIGN;
D O I
10.1108/EC-10-2019-0481
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Purpose This paper aims to present a new multi-community meta-heuristic optimization algorithm, which is called shuffled shepherd optimization algorithm (SSOA). In this algorithm. Design/methodology/approach The agents are first separated into multi-communities and the optimization process is then performed mimicking the behavior of a shepherd in nature operating on each community. Findings A new multi-community meta-heuristic optimization algorithm called a shuffled shepherd optimization algorithm is developed in this paper and applied to some attractive examples. Originality/value A new metaheuristic is presented and tested with some classic benchmark problems and some attractive structures are optimized.
引用
收藏
页码:2357 / 2389
页数:33
相关论文
共 49 条
[1]  
AISC A, 1989, MAN STEEL CONSTR ALL
[2]  
(AISC) A. I. O. S. C, 2001, MAN STEEL CONSTR LOA
[3]  
Ali A.F., 2016, Appl. Math. Inf. Sci, V10, P431, DOI [DOI 10.18576/AMIS/100207, 10.18576/amis/100207]
[4]  
[Anonymous], 2010, Specification for Structural Steel Buildings
[5]   Design of space trusses using big bang-big crunch optimization [J].
Camp, Charles V. .
JOURNAL OF STRUCTURAL ENGINEERING-ASCE, 2007, 133 (07) :999-1008
[6]   Design of space trusses using ant colony optimization [J].
Camp, CV ;
Bichon, BJ .
JOURNAL OF STRUCTURAL ENGINEERING, 2004, 130 (05) :741-751
[7]   Constraint-handling in genetic algorithms through the use of dominance-based tournament selection [J].
Coello, CAC ;
Montes, EM .
ADVANCED ENGINEERING INFORMATICS, 2002, 16 (03) :193-203
[8]   Constraint-handling using an evolutionary multiobjective optimization technique [J].
Coello, CAC .
CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS, 2000, 17 (04) :319-346
[9]   Use of a self-adaptive penalty approach for engineering optimization problems [J].
Coello, CAC .
COMPUTERS IN INDUSTRY, 2000, 41 (02) :113-127
[10]   OPTIMAL-DESIGN OF A WELDED BEAM VIA GENETIC ALGORITHMS [J].
DEB, K .
AIAA JOURNAL, 1991, 29 (11) :2013-2015