Symbiotic Organisms Search: A new metaheuristic optimization algorithm
Symbiotic Organisms Search: A new metaheuristic optimization algorithm
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DOI：
10.1016/j.compstruc.2014.03.007
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发表时间：
2014-07-15
影响因子：
4.7
通讯作者：
Prayogo, Doddy
中科院分区：
文献类型：
--
作者：
Cheng, Min-Yuan;Prayogo, Doddy
本文提出了一种新的鲁棒性和强大的元启发式算法称为共生生物搜索（SOS）的数值优化和工程设计问题。SOS模拟了生物在生态系统中生存和繁殖所采取的共生相互作用策略。对26个无约束数学问题和4个结构工程设计问题进行了测试，并与其他著名的优化方法进行了比较。所得结果证实了SOS方法在解决各种复杂的数值问题的优良性能。(C)2014爱思唯尔有限公司版权所有。
This paper applies a new robust and powerful metaheuristic algorithm called Symbiotic Organisms Search (SOS) to numerical optimization and engineering design problems. SOS simulates the symbiotic interaction strategies adopted by organisms to survive and propagate in the ecosystem. Twenty-six unconstrained mathematical problems and four structural engineering design problems are tested and obtained results compared with other well-known optimization methods. Obtained results confirm the excellent performance of the SOS method in solving various complex numerical problems. (C) 2014 Elsevier Ltd. All rights reserved.