@inproceedings{f6d5aa2dfa804f239d01bc849c003c77,
title = "The application of a hybrid algorithm to the submersible path-planning",
abstract = "The premature problem is always being a hot topic in the swarm intelligence research field. PSO could easily fall into local optima because the particles could quickly get closer to the best particle. To this end, this paper proposes a new hybrid PSO named HGC-PSO to solve this problem. The mutation mainly considers the m+1 particles which have the better fitness values. Firstly, we add the Gauss mutation to the current global optimal. Secondly, we use the Cauchy mutation to change the rest of the m+1 particles. The purpose of this method is to increase the population diversity and avoid the PSO fall into local optima. Finally, HGC-PSO is applied to path planning problem in 3D space for robot in this paper. The experiment of results prove that the proposed algorithm has higher convergence speed and precision, besides a path without collision is found.",
keywords = "Cauchy Mutation, Mutation Operator, PSO, Path Planning",
author = "Chongyang Lv and Fei Yu and Na Yang and Jin Feng and Meikui Zou",
year = "2012",
doi = "10.1007/978-3-642-30976-2\_57",
language = "英语",
isbn = "9783642309755",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "470--478",
booktitle = "Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings",
edition = "PART 1",
note = "3rd International Conference on Swarm Intelligence, ICSI 2012 ; Conference date: 17-06-2012 Through 20-06-2012",
}