Inlämning av Examensarbete / Submission of Thesis

Satyobroto Talukder 2010:8, pp. 65. ING/School of Engineering, 2011.

The work

Författare / Author: Satyobroto Talukder
Titel / Title: Mathematicle Modelling and Applications of Particle Swarm Optimization
Abstrakt Abstract:

Optimization is a mathematical technique that concerns the finding of maxima or minima of functions in some feasible region. There is no business or industry which is not involved in solving optimization problems. A variety of optimization techniques compete for the best solution. Particle Swarm Optimization (PSO) is a relatively new, modern, and powerful method of optimization that has been empirically shown to perform well on many of these optimization problems. It is widely used to find the global optimum solution in a complex search space. This thesis aims at providing a review and discussion of the most established results on PSO algorithm as well as exposing the most active research topics that can give initiative for future work and help the practitioner improve better result with little effort. This paper introduces a theoretical idea and detailed explanation of the PSO algorithm, the advantages and disadvantages, the effects and judicious selection of the various parameters. Moreover, this thesis discusses a study of boundary conditions with the invisible wall technique, controlling the convergence behaviors of PSO, discrete-valued problems, multi-objective PSO, and applications of PSO. Finally, this paper presents some kinds of improved versions as well as recent progress in the development of the PSO, and the future research issues are also given.

Ämnesord / Subject: Mathematics\Analysis
Nyckelord / Keywords: Optimization, swarm intelligence, particle swarm, social network, convergence, stagnation, multi-objective.

Publication info

Dokument id / Document id:
Program:/ Programme Mathematical Modelling and Simulation
Registreringsdatum / Date of registration: 02/18/2011
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)


Handledare / Supervisor: Prof. Elisabeth Rakus-Andersson
Examinator / Examiner: Efraim Laksman
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: ING/School of Engineering

+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: ms thesis pso algorithm.pdf (1312 kB, öppnas i nytt fönster)