An Efficient Algorithm for Unconstrained Optimization

An Efficient Algorithm for Unconstrained Optimization

This paper presents an original and efficient PSO algorithm, which is divided into three phases: (1) stabilization, (2) breadth-first search, and (3) depth-first search. The proposed algorithm, called PSO-3P, was tested with 47 benchmark continuous unconstrained optimization problems, on a total of...

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Veröffentlicht in:Mathematical problems in engineering 2015-01, Vol.2015 (2015), p.1-17
Hauptverfasser: Rincón-García, Eric Alfredo, Lara-Velázquez, Pedro, Mora-Gutiérrez, Roman Anselmo, Gutiérrez-Andrade, Miguel Ángel, de-los-Cobos-Silva, Sergio Gerardo, Ponsich, Antonin
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Benchmarking
Genetic algorithms
Heuristic
Mathematical models
Optimization
Particle swarm optimization
Searching
Stabilization
Three phase
Velocity
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Beschreibung
Zusammenfassung:This paper presents an original and efficient PSO algorithm, which is divided into three phases: (1) stabilization, (2) breadth-first search, and (3) depth-first search. The proposed algorithm, called PSO-3P, was tested with 47 benchmark continuous unconstrained optimization problems, on a total of 82 instances. The numerical results show that the proposed algorithm is able to reach the global optimum. This work mainly focuses on unconstrained optimization problems from 2 to 1,000 variables.
ISSN:1024-123X
1563-5147
DOI:10.1155/2015/178545