CFP last date
15 January 2025
Call for Paper
February Edition
IJAIS solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 15 January 2025

Submit your paper
Know more
Reseach Article

Cross-Country Path Finding using Hybrid approach of PSO and BCO

by Monica Sood, Deepalika Kaplesh
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 1
Year of Publication: 2012
Authors: Monica Sood, Deepalika Kaplesh
10.5120/ijais12-450248

Monica Sood, Deepalika Kaplesh . Cross-Country Path Finding using Hybrid approach of PSO and BCO. International Journal of Applied Information Systems. 2, 1 ( May 2012), 22-24. DOI=10.5120/ijais12-450248

@article{ 10.5120/ijais12-450248,
author = { Monica Sood, Deepalika Kaplesh },
title = { Cross-Country Path Finding using Hybrid approach of PSO and BCO },
journal = { International Journal of Applied Information Systems },
issue_date = { May 2012 },
volume = { 2 },
number = { 1 },
month = { May },
year = { 2012 },
issn = { 2249-0868 },
pages = { 22-24 },
numpages = {9},
url = { https://www.ijais.org/archives/volume2/number1/125-0248/ },
doi = { 10.5120/ijais12-450248 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:43:04.841776+05:30
%A Monica Sood
%A Deepalika Kaplesh
%T Cross-Country Path Finding using Hybrid approach of PSO and BCO
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 2
%N 1
%P 22-24
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this research paper we will implement new approach in order to find optimized path which is different from the conventional approaches. The newly developed approach will acknowledge the problems like terrain mapping, obstacle detection and avoidance, and goal seeking in cross-country using Swarm Intelligence. This approach will be used as combination of techniques PSO(Particle Swarm Optimization) for finding out the natural paths moreover keeping the obstacle detection from the satellite image and BCO(Bee Colony Optimization) algorithm for obstacle avoidance and shortest path to the goal

References
  1. . Sood(2010)," Cross-Country Path Finding using Hybrid approach of PSO and BBO", International Journal of Computer Applications, vol. 7 no. 6, pp. 3-5.
  2. . J. Kiper, "Structural Testing of Rule-Based Expert Systems," ACM Trans. Software Eng. And Methodology, Apr. 1992, pp. 168-187 Computer Applications, vol. 7 no. 6, pp. 3-5.
  3. . Kundra(2010)," Cross-Country Path Finding using Hybrid approach of BBO and ACO", International Journal of Computer Applications, vol. 7 no. 6, pp. 3-5.
  4. . Tsai(2009)," ENHANCED ARTIFICIAL BEE COLONY OPTIMIZATION", International Journal of Innovative Computing, Information and Control , vol. 5 no. 12,pp. 2-3.
  5. . Enxiu Chen, Zhenliang Pan, Yi Sun (2010)," A Binary Particle Swarm Optimization based on Proportion probability", 2010 Third International Conference on Business Intelligence and Financial Engineering
  6. . Y. Delican," Artificial Bee Colony Optimization Based CMOS Inverter Design Considering Propagation Delays", 2010 XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD)
Index Terms

Computer Science
Information Sciences

Keywords

Satellite Image Path Planning Terrain Mapping Obstacle Detection And Avoidance And Swarm Intelligence