Wenyan Guo1, *, Ting Liu1, Fang Dai1, Peng Xu1
CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 337-354, 2020, DOI:10.32604/cmc.2020.06411
Abstract Whale optimization algorithm (WOA) is a new population-based metaheuristic
algorithm. WOA uses shrinking encircling mechanism, spiral rise, and random
learning strategies to update whale’s positions. WOA has merit in terms of simple
calculation and high computational accuracy, but its convergence speed is slow and it is
easy to fall into the local optimal solution. In order to overcome the shortcomings, this
paper integrates adaptive neighborhood and hybrid mutation strategies into whale
optimization algorithms, designs the average distance from itself to other whales as an
adaptive neighborhood radius, and chooses to learn from the optimal solution in the
neighborhood instead of… More >
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