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Reseach Article

Navigational Path Planning of Multi-Robot using Honey Bee Mating Optimization Algorithm (HBMO)

by Rashmi Ranjan Sahoo, Pratyusha Rakshit, Md Taslim Haidar, Sujata Swarnalipi, Bunil k. Balabantaray, Sharmilla Mohapatra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 27 - Number 11
Year of Publication: 2011
Authors: Rashmi Ranjan Sahoo, Pratyusha Rakshit, Md Taslim Haidar, Sujata Swarnalipi, Bunil k. Balabantaray, Sharmilla Mohapatra
10.5120/3348-4617

Rashmi Ranjan Sahoo, Pratyusha Rakshit, Md Taslim Haidar, Sujata Swarnalipi, Bunil k. Balabantaray, Sharmilla Mohapatra . Navigational Path Planning of Multi-Robot using Honey Bee Mating Optimization Algorithm (HBMO). International Journal of Computer Applications. 27, 11 ( August 2011), 1-8. DOI=10.5120/3348-4617

@article{ 10.5120/3348-4617,
author = { Rashmi Ranjan Sahoo, Pratyusha Rakshit, Md Taslim Haidar, Sujata Swarnalipi, Bunil k. Balabantaray, Sharmilla Mohapatra },
title = { Navigational Path Planning of Multi-Robot using Honey Bee Mating Optimization Algorithm (HBMO) },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 27 },
number = { 11 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume27/number11/3348-4617/ },
doi = { 10.5120/3348-4617 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:13:27.422112+05:30
%A Rashmi Ranjan Sahoo
%A Pratyusha Rakshit
%A Md Taslim Haidar
%A Sujata Swarnalipi
%A Bunil k. Balabantaray
%A Sharmilla Mohapatra
%T Navigational Path Planning of Multi-Robot using Honey Bee Mating Optimization Algorithm (HBMO)
%J International Journal of Computer Applications
%@ 0975-8887
%V 27
%N 11
%P 1-8
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Over the last decade, evolutionary and meta-heuristic algorithms have been extensively developed and used as search and optimization tools in various problem domains, including science, commerce, and engineering. Their broad applicability, ease of use, and global perspective may be considered as the primary reason for their success. The honey-bees mating process may also be considered as a typical swarm-based approach to optimization, in which the search algorithm is inspired by the process of real honey-bees mating. In this paper we present an alternative approach for navigational path plan of multi robot using HBMO algorithm. We reveal that this proposed optimization scheme outperforms other Evolutionary algorithms like Particle swarm optimization, Differential Evolutionary algorithm in the task of navigation.

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Index Terms

Computer Science
Information Sciences

Keywords

Multi Robot Path Planning Honey Bee Mating Optimization algorithm Centralized Planning