A new QPSO based hybrid algorithm for constrained optimization problems via tournamenting process

被引：0
作者：
Nirmal Kumar
Sanat Kumar Mahato
Asoke Kumar Bhunia
机构：
[1] The University of Burdwan,Department of Mathematics
[2] Sidho-Kanho-Birsha University,Department of Mathematics
来源：
Soft Computing | 2020年 / 24卷
关键词：
Constrained optimization; PSO; Adaptive QPSO; Gaussian QPSO; Tournamenting; Hybrid algorithm; Engineering design problem;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The goal of this paper is to propose a new hybrid algorithm based on advanced quantum behaved particle swarm optimization (QPSO) technique and binary tournamenting for solving constrained optimization problems. In binary tournamenting, six different situations/options are considered and accordingly six variants of hybrid algorithms are proposed. Then to test the efficiency and performance of these algorithms and also to select the best algorithm among these, six benchmark optimization problems are selected and solved. Then the computational results are compared graphically as well as numerically. Finally, the best found algorithm is applied to solve three engineering design problems and the computational results are compared with the existing algorithms available in the literature.
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页码：11365 / 11379
页数：14
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