A Cooperative Coevolution Wingsuit Flying Search Algorithm with Spherical Evolution

Abstract

The algorithm wingsuit flying search (WFS) mimics the procedure of landing the vehicle. The outstanding feature of WFS is parameterless and of rapid convergence. However, WFS also has its shortcomings, sometimes it will inevitably be trapped into local optima, thereby yield inferior solutions owing to its relatively weak exploration ability. Spherical evolution (SE) adopts a novel spherical search pattern that takes aim at splendid search ability. Cooperative coevolution is a useful parallel structure for reconciling algorithmic performance. Considering the complementary strengths of both algorithms, we herein propose a new hybrid algorithm that is comprised of SE and WFS using cooperative coevolution. During the search for optimal solutions in WFS, we replaced the original search matrix and introduced the spherical mechanism of SE, in parallel with coevolution to enhance the competitiveness of the population. The two distinct search dynamics were combined in a parallel and coevolutionary way, thereby getting a good search performance. The resultant hybrid algorithm, CCWFSSE, was tested on the CEC2017 benchmark set and 22 CEC 2011 real-world problems. The experimental data obtained can verify that CCWFSSE outperforms other algorithms in aspects of effectiveness and robustness.

Elite‐of‐the‐Elites Driven Five‐Layered Gravitational Search Algorithm for Optimization

“…The five-layered population structure of EFGSA proved to be a promising approach for enhancing the performance of gravitational search algorithms. Further research can explore its applicability to other optimization domains and investigate potential synergies with other metaheuristic techniques [3].…”

An Adaptive Dimension Weighting Spherical Evolution to Solve Continuous Optimization Problems

“…By emulating the improvement strategy of LSHADE, the search pattern of LSE is somewhat altered, enabling a more focused exploitation during later iterations [36]. Another attempt at improvement is the cooperative coevolution wingsuit flying search algorithm with SE (CCWFSSE) [37]. However, it falls short of being deemed a successful hybrid algorithm due to its use of unreasonable population size settings in the experimental phase and the absence of a comparison with the original SE.…”

Chaotic Wind Driven Optimization with Fitness Distance Balance Strategy

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