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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/10053
Title: Cell-like P-systems based on rules of Particle Swarm Optimization
Authors: Singh G.
Deep K.
Nagar A.K.
Published in: Applied Mathematics and Computation
Abstract: For practical purposes, rules have to be defined to use hierarchical membrane structures of P-systems or membrane computing, the latest distributed and parallel paradigm in natural computing. The objective of this paper is to investigate and report the comparative implementation of five membrane optimization algorithms of P-systems based on evolution rules of Particle Swarm Optimization, on the latest CEC 2014 benchmark problem set, as has been asked for in Liang et al. (2013). The results, on this set of 30 problems of varying difficulty levels, is presented as per the specifications and evaluation criteria asked for, therein. The results of our paper show that our results are better than the results presented in the two papers appeared till now. Further, it is concluded that, using membrane optimization algorithms of P-systems based on PSO rules, improves the performance especially for higher dimensions. This can be achieved by minimum inter-communication and load-balancing amongst membranes. © 2014 Elsevier Inc. All rights reserved.
Citation: Applied Mathematics and Computation (2014), 246(): 546-560
URI: https://doi.org/10.1016/j.amc.2014.08.027
http://repository.iitr.ac.in/handle/123456789/10053
Issue Date: 2014
Publisher: Elsevier Inc.
Keywords: CEC 2014 benchmark problems
Complexity
Membrane algorithm
Optimization
P-system
Particle
Swarm
ISSN: 963003
Author Scopus IDs: 57209060608
8561208900
8840681600
Author Affiliations: Singh, G., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India
Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India
Nagar, A.K., Department of Mathematics and Computer Science, Liverpool Hope University, Hope Park, Liverpool, L16 9JD, United Kingdom
Funding Details: The first author would like to acknowledge Ministry of Human Resource Development , Government of India, for funding the research under Grant No. MHRD02–23-200–304 . The authors are thankful to the reviewers for their valuable comments.
Corresponding Author: Singh, G.; Department of Mathematics, Indian Institute of Technology RoorkeeIndia
Appears in Collections:Journal Publications [MA]

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