Evolutionary membrane computing: A comprehensive survey and new results
Zhang, G. ; Gheorghe, Marian ; Pan, L.Q. ; Perez-Jimenez, M.J.
Zhang, G.
Gheorghe, Marian
Pan, L.Q.
Perez-Jimenez, M.J.
Publication Date
2014-09
End of Embargo
Supervisor
Keywords
Membrane computing, Evolutionary computation, Evolutionary membrane computing, Membrane-inspired evolutionary algorithm, Automated design of membrane computing model, P-systems, Optimisation problems, Multiobjective optimisation, Differential evolution, Automatic design, Algorithm, Metaheuristics, Variant, Rules, Model
Rights
Peer-Reviewed
Open Access status
closedAccess
Accepted for publication
2014-04-08
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
Evolutionary membrane computing is an important research direction of membrane computing that aims to explore the complex interactions between membrane computing and evolutionary computation. These disciplines are receiving increasing attention. In this paper, an overview of the evolutionary membrane computing state-of-the-art and new results on two established topics in well defined scopes (membrane-inspired evolutionary algorithms and automated design of membrane computing models) are presented. We survey their theoretical developments and applications, sketch the differences between them, and compare the advantages and limitations. (C) 2014 Elsevier Inc. All rights reserved.
Version
No full-text in the repository
Citation
Zhang GX, Gheorghe M, Pan LQ et al (2014) Evolutionary membrane computing: A comprehensive survey and new results. Information Sciences. 279: 528-551.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Article