A novel dynamic generalized opposition-based grey wolf optimization algorithm

DOI10.3390/a11040047zbMath1461.90197OpenAlexW2796486962WikidataQ129985142 ScholiaQ129985142MaRDI QIDQ2331450

Yanzhen Xing, Leiou Wang, Donghui Wang

Publication date: 29 October 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a11040047

zbMATH Keywords

heuristic algorithmmeta-heuristicfunction optimizationgrey wolf optimizergeneralized opposition-based learning

Mathematics Subject Classification ID

Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• ABC
• WOA
• GWO
• ALO
• GSA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Hybrid metaheuristics. An emerging approach to optimization.
• Valid inequalities for mixed integer linear programs
• Extended ant colony optimization for non-convex mixed integer nonlinear programming
• A survey on metaheuristics for stochastic combinatorial optimization
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Elite opposition-based social spider optimization algorithm for global function optimization
• GSA: A gravitational search algorithm
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
• Combining (Integer) Linear Programming Techniques and Metaheuristics for Combinatorial Optimization
• Hybridizations of Metaheuristics With Branch & Bound Derivates
• A New Metaheuristic Bat-Inspired Algorithm
• Firefly Algorithms for Multimodal Optimization