… is embedded with the mapping through a normalize function … linear variation and employs β
-chaotic sequence through a … and exploitation by introducing the β -chaotic sequence in each …

… This paper proposed an improved Grey Wolf Optimizer (GWO) to … random variables in the
tent mapping can effectively avoid the … Improving tent mapping enables the GWO initialized wolf …

… The paper presents a comprehensive study of application of $$\beta $$ β -chaotic map
enabled Grey Wolf Optimizer ( $$\beta $$ β -GWO) and it’s comparison with other prominent …

… Grey Wolf Optimization algorithm (GWO), one of the newly established nature-inspired
metaheuristic algorithms, and the suggested approach is termed Chaotic Grey Wolf Optimization (…

… and numerical optimisation problems of global convergence, a novel chaotic grey wolf
optimisation (NCGWO) is proposed for solving the high-dimensional optimisation problems. Firstly…

… In this paper, we collected 19 classical maps which could all … optimization algorithms were
summarized and simulation experiments were carried out. The classical grey wolf optimization …

… In this paper, an improved grey wolf optimization based on the two-stage search of hybrid …
grey wolf optimization that easily falls into the local minima when solving complex optimization …

… grey wolf optimizer utilizing a clone selection algorithm (pGWO-CSA) to overcome the
disadvantages of a standard grey wolf optimizer (… of GWO by embedding a β-chaotic sequence …

… : In the standard grey wolf optimizer (GWO), the search wolf must … the other search wolves
and the three leader wolves is completed… β-Chaotic map enabled grey wolf optimizer. Appl Soft …

… ABSTRACT In this research, we propose an enhanced Grey Wolf Optimizer (GWO) for
designing … [46] proposed a βChaotic map enabled GWO (β-GWO) model. It modifies the linearly …