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Novel grey wolf optimization based on modified differential evolution for numerical function optimization

Applied Intelligence, 2019
Grey wolf optimization algorithm (GWO) is a new swarm intelligence optimization algorithm proposed in recent years. Because of few control parameters and easy implementation, GWO is widely used in many fields. Compared with other common swarm optimization algorithms, it is more suitable for the global optimization problems.
Jun Luo, Zewei Liu
openaire   +1 more source

A MapReduce‐based modified Grey Wolf optimizer for QoS‐aware big service composition

Concurrency and Computation, 2019
Big services are the collection of interrelated web services across virtual and physical domains, integrating service oriented computing and big data. The rapid growth of Big services that offer similar functionality with varying QoS attributes makes the
B. Bhaskar   +3 more
semanticscholar   +1 more source

An improved grey wolf optimizer for solving engineering problems

Expert Systems With Applications, 2021
Mohammad H Nadimi-Shahraki   +2 more
exaly  

A modified grey wolf optimizer with multi-solution crossover integration algorithm for feature selection

Journal of Ambient Intelligence and Humanized Computing
M. Ihsan   +5 more
semanticscholar   +1 more source

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