2022
DOI: 10.11591/ijeecs.v27.i3.pp1375-1387
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Adaptive weight grey wolf algorithm application on path planning in unknown environments

Abstract: Autonomous mobile robots developed using metaheuristic algorithms are increasingly becoming a hot topic in control and computer sciences. Specifically, finding the shortest route to the goal and avoiding hurdles are current subjects of autonomous mobile robots. The Modified Grey Wolf Optimization (MGWO) is demonstrated in this work using two approaches: first, the Adaptive Adjustment Approach of the Control Parameters, and second, the Adaptive Variable Weights method. Those two methods are utilized for updatin… Show more

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