GA-based Path Planning for Mobile Robots: An Empirical Evaluation of Seven Techniques

Abstract

Previous research suggests that genetic algorithms (GAs) offer a promising solution to path planning for mobile robots. We examine six simple GAs used in prior studies, comparing them to a new node sequence approach that includes a two-step fitness function. Through a series of repeated trials using a simple 16x16 grid, a 100x100 grid, a 600x600 Mars… (More)
DOI: 10.4304/jcp.8.8.1912-1922

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