Journal
KSCE JOURNAL OF CIVIL ENGINEERING
Volume 24, Issue 12, Pages 3703-3713Publisher
KOREAN SOCIETY OF CIVIL ENGINEERS-KSCE
DOI: 10.1007/s12205-020-0504-5
Keywords
Whale optimization algorithm; Tent chaotic mapping; Selection strategy; Standard function; 0-1 Knapsack Problem; Combinatorial optimization
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Funding
- Science and Technology Research Project of Institutions of Higher Education of Hebei Province [ZD2019114]
- Hebei Graduate Innovation Funding Project [CXZZSS2020079]
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In this paper, a novel modified whale optimization algorithm based on Tent chaos map and tournament selection strategy (MWOA) was presented. The aim of the improved algorithm is to reduce the possibility of the standard whale algorithm falling into local optimal. During the initialization of the population, in order to increase population diversity and randomness, MWOA cites the Tent chaos map. In the optimization process, in order to improve the development ability of the standard algorithm, the tournament selection strategy was employed to improve the algorithm accuracy. Numerical simulation and example calculation results show that the improved algorithm is superior to the standard WOA algorithm. The improved method provides a new method for truss structure optimization.
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