Hybridizing gravitational search algorithm with real coded genetic algorithms for structural engineering design problem

Amarjeet Singh () and Kusum Deep ()
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Amarjeet Singh: Indian Institute of Technology Roorkee
Kusum Deep: Indian Institute of Technology Roorkee

OPSEARCH, 2017, vol. 54, issue 3, No 4, 505-536

Abstract: Abstract The focus of this paper is gravitational search algorithm which is a relatively new heuristics algorithm for function optimization. In order to improve the efficiency and reliability it was hybridized with real coded genetic algorithm and extensively applied to solve benchmarks problems available in literature. In the present paper, these hybridized variants are used to solve three constrained engineering design problem. The obtained results are compared with an extensively available results in literature. It is proved that the performance of one of the hybridized version outperform the remaining hybridized version as well as original gravitational search algorithm, in term of quality of solution and computation effort.

Keywords: Gravitational search algorithm; Laplace crossover; Power mutation; Engineering optimization (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s12597-016-0291-4

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