NDLI: A novel hybrid PSO-ACO approach with its application to SPP

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A novel hybrid PSO-ACO approach with its application to SPP

Content Provider	Springer Nature Link
Author	Mazinan, A. H. Sagharichiha, F.
Copyright Year	2015
Abstract	State-of-the-art in the area of shortest path problem (SPP) is considered to propose a novel hybrid approach, realized based on the well-known particle swarm optimization in association with ant colony optimization. The subject addressed in the present research is worthy of investigation due to the fact that efficient outcomes may be useful, in so many academic and industrial environments, which are encountered optimized path problems. Based on the matter presented, a number of applications of the SPP are in vehicle routing in the transportation systems, traffic routing in the communication networks and path planning in the VLSI design. Regarding the approach considered here, it should be noted that the main aim is to find the SPP between specified point and corresponding destination one, as long as some static obstacles are assumed in terrain. The properties of the present model enable us to organize a meta-heuristic in line with ant colony algorithms to solve the shortest path design. Subsequently, in order to evaluate the proposed approach, the investigated results are compared with other meta-heuristic algorithms. Computational results illustrate that the efficiency of the proposed approach is desirable with respect to other related techniques.
Starting Page	293
Ending Page	302
Page Count	10
File Format	PDF
ISSN	18686478
Journal	Evolving Systems
Volume Number	6
Issue Number	4
e-ISSN	18686486
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-01-07
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Shortest path problem Particle swarm optimization Ant colony optimization Meta-heuristic algorithms Complexity Artificial Intelligence (incl. Robotics) Statistical Physics, Dynamical Systems and Complexity
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation Computer Science Applications

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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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