WSEAS Transactions on Mathematics
Print ISSN: 1109-2769, E-ISSN: 2224-2880
Volume 13, 2014
Hybrid Cuckoo Search Algorithm based on Powell Search for Constrained Engineering Design Optimization
Authors: ,
Abstract: eCuckoo search (CS) has been recently proposed as a population-based optimization algorithm and it is has so far been successfully applied in a variety of fields. An efficient hybrid cuckoo search algorithm (HCSA) based on Powell direct search method is proposed for solving constrained engineering design optimization prob- lems. The inertia weight of Levy flights is introduced to balance the ability of global and local search. The Powell local search technique is used to improve the best approximation found by the cuckoo search algorithm. The hy- bridization of cuckoo search algorithm and Powell search method may provide a more effective trade-off between exploitation and exploration of the search space. The proposed hybrid method is tested based on three widely used benchmark constrained functions and three well-known constrained engineering design optimization problems, which shows that HCSA is of better or competitive performances when compared with several existing algorithms.
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Keywords: Cuckoo search algorithm, Powell search, constrained optimization, engineering design optimization
Pages: 431-440
WSEAS Transactions on Mathematics, ISSN / E-ISSN: 1109-2769 / 2224-2880, Volume 13, 2014, Art. #41