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Title: Particle swarm and simulated annealing for multi-local optimization
Author: Vaz, Ismael
Pereira, Ana I.
Fernandes, Edite M.G.P.
Keywords: Multi-global optimization
Particle swarm optimization
Simulated Annealing
Issue Date: 2005
Publisher: WSEAS
Citation: Vaz, Ismael; Pereira, Ana I.; Fernandes, Edite M.G.P.(2005) - Particle swarm and simulated annealing for multi-local optimization. WSEAS Transactions on Information Science & Applications. ISSN 1790-0832. 2:5, p. 534-539
Abstract: Particle swarm and simulated annealing optimization algorithms proved to be valid in finding a global optimum in the bound constrained optimization context. However, their original versions can only detect one global optimum even if the problem has more than one solution. In this paper we propose modifications to both algorithms. In the particle swarm optimization algorithm we introduce gradient information to enable the computation of all the global and local optima. The simulated annealing algorithm is combined with a stretching technique to be able to compute all global optima. The numerical experiments carried out with a set of well-known test problems illustrate the effectiveness of the proposed algorithms.
Peer review: yes
ISSN: 1790-0832
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Appears in Collections:DEMAT - Artigos em Revistas Não Indexados ao ISI/Scopus

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