Article
A Hybrid Pathfinder Optimizer for Unconstrained and Constrained Optimization Problems.
Computational intelligence and neuroscience - 1 Jan 2020
Qi Xiangbo, Yuan Zhonghu, Song Yan
Abstract excerpt
Hybridization of metaheuristic algorithms with local search has been investigated in many studies. This paper proposes a hybrid pathfinder algorithm (HPFA), which incorporates the mutation operator in differential evolution (DE) into the pathfinder algorithm (PFA). The proposed algorithm combines the searching ability of both PFA and DE. With a test on a set of twenty-four unconstrained benchmark functions...
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