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Adaptive Tunning of All Parameters in a Multi-Swarm Particle Swarm Optimization Algorithm: An Application to the Probabilistic Traveling Salesman Problem
School of Production Engineering and Management, Technical University of Crete, Decision Support Systems Laboratory, Department of Production Engineering and Management, Technical University of Crete.
School of Production Engineering and Management, Technical University of Crete.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0001-8473-3663
2015 (English)In: Optimization, Control, and Applications in the Information Age: In Honor of Panos M. Pardalos’s 60th Birthday / [ed] Athanasios Migdalas; Athanasia Karakitsiou, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 187-207Conference paper, Published paper (Refereed)
Abstract [en]

One of the main issues in the application of a particle swarm optimization (PSO) algorithm and of every evolutionary optimization algorithm is the finding of the suitable parameters of the algorithm. Usually, a trial and error procedure is used but, also, a number of different procedures have been applied in the past. In this chapter, we use a new adaptive version of a PSO algorithm where random values are assigned in the initialization of the algorithm and, then, during the iterations the parameters are optimized together and simultaneously with the optimization of the objective function of the problem. This idea is used for the solution of the probabilistic traveling salesman problem (PTSP). The algorithm is tested on a number of benchmark instances and it is compared with a number of algorithms from the literature

Place, publisher, year, edition, pages
Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015. p. 187-207
Series
Springer Proceedings in Mathematics and Statistics, ISSN 2194-1017 ; 130
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
URN: urn:nbn:se:ltu:diva-30808DOI: 10.1007/978-3-319-18567-5_10ISI: 000380540400010Scopus ID: 2-s2.0-84947442672Local ID: 4c286ed6-af7e-4592-be22-8b36d1700732ISBN: 978-3-319-18566-8 (print)ISBN: 978-3-319-18567-5 (electronic)OAI: oai:DiVA.org:ltu-30808DiVA, id: diva2:1004037
Conference
Conference on Optimization Control and Applications in the Information Age : Organized in honor of the 60th birthday of Professor Panos M. Pardalos 15/06/2014 - 20/06/2014
Note
Validerad; 2016; Nivå 1; 20150818 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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