Multi-strategy cooperative enhancement dung beetle optimizer and its application in obstacle avoidance navigation.

ABSTRACT: Path planning is a crucial component of unmanned driving systems designed to address the challenge of autonomous navigation. This article introduces a novel approach called the multi-strategy cooperative enhanced dung beetle optimization algorithm (RCDBO) and applies it to dispose of path planning issues. Its primary aim is to mitigate the shortcomings of the fundamental dung beetle optimization algorithm (DBO), namely, its tendency to prematurely converge to local optima and its limited global planning capability. Initially, population initialization leverages Bernoulli-based chaotic mapping to enhance diversity and ensure uniform randomness, thereby improving both the quality of initial solutions and optimization efficiency. Subsequently, a random walk strategy is employed to perturb the

SUBMITTER: Tang X 

PROVIDER: S-EPMC11564826 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature