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HIS
2009
13 years 5 months ago
A Particle Swarm Optimization with Feasibility-Based Rules for Mixed-Variable Optimization Problems
A Particle Swarm Optimization algorithm with feasibility-based rules (FRPSO) is proposed in this paper to solve mixed-variable optimization problems. An approach to handle various ...
Chao-Li Sun, Jian-Chao Zeng, Jeng-Shyang Pan
SWARM
2010
SPRINGER
420views Optimization» more  SWARM 2010»
13 years 6 months ago
Fireworks Algorithm for Optimization
Abstract. Inspired by observing fireworks explosion, a novel swarm intelligence algorithm, called Fireworks Algorithm (FA), is proposed for global optimization of complex function...
Ying Tan, Yuanchun Zhu
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 9 days ago
Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization
This paper benchmarks the Particle Swarm Optimization (PSO) algorithm using the noise-free BBOB 2009 testbed. Categories and Subject Descriptors
Mohammed El-Abd, Mohamed S. Kamel
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 8 months ago
Runtime analysis of binary PSO
We investigate the runtime of the Binary Particle Swarm Optimization (PSO) algorithm introduced by Kennedy and Eberhart (1997). The Binary PSO maintains a global best solution and...
Dirk Sudholt, Carsten Witt