A new QPSO based hybrid algorithm for bound-constrained optimisation problem and its application in engineering design problems

被引：13

作者：

Kumar, Nirmal ^{[1
]}

Rahman, Md Sadikur ^{[1
]}

Duary, Avijit ^{[2
]}

Mahato, Sanat Kumar ^{[3
]}

Bhunia, Asoke Kumar ^{[1
]}

机构：

[1] Univ Burdwan, Dept Math, Purba Barddhaman 713104, W Bengal, India

[2] Supreme Knowledge Fdn Grp Inst, Dept Math, Hooghly 712139, W Bengal, India

[3] Sidho Kanho Birsha Univ, Dept Math, Purulia 723104, W Bengal, India

来源：

INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS | 2020年 / 12卷 / 04期

关键词：

PSO; particle swarm optimisation; QPSO; quantum behaved particle swarm optimisation; adaptive QPSO; Gaussian QPSO; tournamenting; hybrid algorithm; engineering design problem; PARTICLE SWARM OPTIMIZATION; MIGRATING GENETIC ALGORITHM; SELECTION; GSA;

D O I：

10.1504/IJCSM.2020.112670

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The aim of this paper is to introduce a new hybrid algorithm for bound-constrained optimisation problem combining quantum behaved particle swarm optimisation (QPSO) and binary tournamenting technique. Depending on the different options of binary tournamenting process, six diverse forms of hybrid algorithm are introduced. Then the efficiency and performance of these hybrid algorithms are investigated through six well known benchmark bound-constrained optimisation problems. Computational results are compared graphically as well as numerically. Finally, this algorithm is utilised to solve four engineering design problems and results are compared with the recent algorithm available in the literature.

引用

页码：385 / 412

页数：28

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