Results 191 to 200 of about 36,380 (225)
Some of the next articles are maybe not open access.
Multidirectional Grey Wolf Optimizer Algorithm for Solving Global Optimization Problems
International Journal of Computational Intelligence and Applications, 2018In this paper, we propose a new hybrid population-based meta-heuristics algorithm inspired by grey wolves in order to solve integer programming and minimax problems. The proposed algorithm is called Multidirectional Grey Wolf Optimizer (MDGWO) algorithm.
Mohamed A. Tawhid, Ahmed F. Ali
openaire +1 more source
Optimization of CMOS Analog Circuits Using Grey Wolf Optimization Algorithm
2017 14th IEEE India Council International Conference (INDICON), 2017A metaheuristic search algorithm named Grey Wolf Optimization (GWO) is presented in this paper to optimally design most commonly used yet important analog circuits i.e., Complementary metal-oxide semiconductor (CMOS) differential amplifier circuit and two-stage CMOS operational amplifier circuit.
M A Mushahhid Majeed, Patri Srihari Rao
openaire +1 more source
Congestion Management using Grey Wolf Optimization Algorithm
2022 International Conference on Advances in Computing, Communication and Materials (ICACCM), 2022Manoj Kumar Kar +2 more
openaire +1 more source
Improved hybrid Jaya Grey Wolf optimization algorithm
2022 International Conference on Cloud Computing, Big Data Applications and Software Engineering (CBASE), 2022Chu-Xin Wang +3 more
openaire +1 more source
A survey on Grey wolf optimization Algorithms
Grey wolf optimizer (GWO) is arising from grey wolves. The grey wolf algorithmic ruleimitate the hunting mechanism of grey wolf. This algorithmic rule is very successful inengineering field. GWO algorithmic rule is very popular in research and analyses interms of anatomy and manipulation.openaire +1 more source
Grey Wolf Optimizer Algorithm for Multi-Objective Optimal Power Flow
Journal of Intelligent Systems and Internet of ThingsThis article introduces the Grey Wolf Optimizer (GWO) algorithm, a novel method aimed at tackling the challenges posed by the multi-objective Optimal Power Flow (OPF) problem. Drawing inspiration from the foraging behavior of grey wolves, GWO stands apart from traditional approaches by enhancing initial solutions without relying on gradient data ...
Krishna Reddy, Y. V. +4 more
openaire +2 more sources
An improved grey wolf optimizer for solving engineering problems
Expert Systems With Applications, 2021Mohammad H Nadimi-Shahraki +2 more
exaly
Policy Iteration Reinforcement Learning-based control using a Grey Wolf Optimizer algorithm
Information Sciences, 2022Radu-Emil Precup
exaly
Grey Wolf Optimizer Algorithm for Suspension Insulator Designing
2021Dyhia Doufene +3 more
openaire +1 more source

