Computer Science ›› 2017, Vol. 44 ›› Issue (10): 216-221, 227.doi: 10.11896/j.issn.1002-137X.2017.10.039

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Adaptive Water Wave Optimization Algorithm Based on Simulated Annealing

WANG Wan-liang, CHEN Chao, LI Li and LI Wei-kun   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Water wave optimization (WWO) is a novel evolutionary algorithm inspired by the shallow wave theory.In this paper,we developed a modified version of simplified water wave optimization algorithm (SimWWO).To fully utilize the history information and experience of the waves,we proposed an adaptive parameter adjustment strategy.The performance of waves on the evolutionary process is used as a feedback to adjust the wave length coefficient adaptively to improve search efficiency.Meanwhile,to avoid the problem of easily being lost in local optimum,the thought of simulated annealing is adopted to accept inferior solution with a certain probability.Through the above two operations,the algorithm achieves better balance between global search and local search.Computational experiments on the CEC 2015 single-objective optimization test problems show that the modified algorithm effectively improves the overall performance.

Key words: Evolutionary algorithms,Water wave optimization,Adaptive parameter,Simulated annealing

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