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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18984
Title: Hybridization of P systems and particle swarm optimization for function optimization
Authors: Singh G.
Deep K.
Bansal J.C.
Nagar A.
Ojha A.K.
Das K.N.
Deep K.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: This paper describes the broad framework for the hybridization of P-systems or Membrane Computing and Particle Swarm Optimization with a view to minimize nonlinear optimization problems. The paper highlights that very few papers are available on the hybridization and concludes that a lot of scope of research is possible in this domain. © Springer India 2014.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2014), 395- 401
URI: https://doi.org/10.1007/978-81-322-1771-8_34
http://repository.iitr.ac.in/handle/123456789/18984
Issue Date: 2014
Publisher: Springer Verlag
Keywords: Intelligent hybrid algorithm
P systems
Particle swarm optimization
Bioinformatics
Nonlinear programming
Optimization
Particle swarm optimization (PSO)
Soft computing
Function Optimization
Hybrid algorithms
Membrane computing
Non-linear optimization problems
P systems
Problem solving
ISBN: 9790000000000
ISSN: 21945357
Author Scopus IDs: 57209060608
8561208900
Author Affiliations: Singh, G., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India
Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India
Corresponding Author: Singh, G.; Department of Mathematics, Indian Institute of Technology RoorkeeIndia; email: garimachauhan.iitr@gmail.com
Appears in Collections:Conference Publications [MA]

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