A Novel Hybrid Grey Wolf Differential Evolution Algorithm

• URL: http://arxiv.org/abs/2507.03022v3
• Date: Mon, 28 Jul 2025 17:08:23 GMT
• Title: A Novel Hybrid Grey Wolf Differential Evolution Algorithm
• Authors: Ioannis D. Bougas, Pavlos Doanis, Maria S. Papadopoulou, Achilles D. Boursianis, Sotirios P. Sotiroudis, Zaharias D. Zaharis, George Koudouridis, Panagiotis Sarigiannidis, Mohammad Abdul Matint, George Karagiannidis, Sotirios K. Goudos,
• Abstract summary: We introduce a new algorithm based on the hybridization of GWO and two DE variants, namely the GWO-DE algorithm.<n>We evaluate the new algorithm by applying various numerical benchmark functions.
• Score: 1.2842469556228848
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Grey wolf optimizer (GWO) is a nature-inspired stochastic meta-heuristic of the swarm intelligence field that mimics the hunting behavior of grey wolves. Differential evolution (DE) is a popular stochastic algorithm of the evolutionary computation field that is well suited for global optimization. In this part, we introduce a new algorithm based on the hybridization of GWO and two DE variants, namely the GWO-DE algorithm. We evaluate the new algorithm by applying various numerical benchmark functions. The numerical results of the comparative study are quite satisfactory in terms of performance and solution quality.

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