NDLI: Modified Particle Swarm Optimization for Search Missions

Content Provider	IEEE Xplore Digital Library
Author	Pitre, R.R.
Copyright Year	2008
Description	Author affiliation: Univ. of New Orleans, New Orleans (Pitre, R.R.)
Abstract	There are many applications that can benefit from a well planned search. Whether the search objective is a lost hiker, a stolen vehicle on the interstate, or enemies on the battlefield, some assumptions must be made about the search objective before the search can begin. These assumptions focus the search in areas that have a relatively high likelihood of finding the targets of interest. A common approach to mission planning is to apply an optimization algorithm and obtain a good solution based on these assumptions. In general, the mission planner uses simulated targets to emulate the expected target behavior in order to evaluate candidate search paths. In practice, a major drawback is that the prior distribution of targets is only used to evaluate the search paths rather than to guide the optimization algorithm in generating the search paths. This paper introduces a method that explicitly exploits the sampled target distribution to create search paths, which naturally improves the results since the search paths directly depend on the time varying target locations. Results from a realistic cooperative path planning scenario show that explicit usage of target distributions can improve the performance of particle swarm optimization.
Starting Page	362
Ending Page	365
File Size	1805479
Page Count	4
File Format	PDF
ISBN	9781424418060
ISSN	00942898
DOI	10.1109/SSST.2008.4480255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle swarm optimization Equations Iterative algorithms Space exploration Vehicles Path planning Decision making Monte Carlo methods Contracts Kinematics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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