This article presents a novel knowledge-based genetic algorithm (GA) to generate a collision-free path in complex environments. The proposed algorithm infuses specific domain knowledge into robot path ...

Abstract: This article presents a novel knowledge-based genetic algorithm (GA) to generate a collision-free path in complex environments. The proposed algorithm infuses specific domain knowledge into ...

Wahab, Mohd Nadhir Ab and et al. "Improved Genetic Algorithm for Mobile Robot Path Planning in Static Environments." Expert Systems with Applications , vol. 249, part C, September 2024. Jin, Gang ...

The first step to improve the accuracy of your path planning algorithms is to choose the right representation of the environment and the robot. The representation can be either discrete or ...

In this paper, a novel knowledge-based genetic algorithm for path planning of a mobile robot in unstructured complex environments is proposed, where five problem-specific operators are developed for ...

For path planning based on genetic algorithm, the individuals suitable for the environment are the suitable moving paths, and the one that best satisfies the conditions is obtained by random selection ...

But local path planning enables a robot to plan its path as it is moving in the environment, which means the robot will be able to generate new paths in response to the changes of environment [2] . In ...