Sciweavers

113 search results - page 4 / 23
» Evaluation of Comprehensive Learning Particle Swarm Optimize...
Sort
View
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 27 days ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean
HIS
2009
13 years 4 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
DEXAW
2008
IEEE
204views Database» more  DEXAW 2008»
14 years 1 months ago
Particle Swarm Optimization Using Adaptive Mutation
Two new variants of Particle Swarm Optimization (PSO) called AMPSO1 and AMPSO2 are proposed for global optimization problems. Both the algorithms use adaptive mutation using Beta ...
Millie Pant, Radha Thangaraj, Ajith Abraham
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
13 years 11 months ago
Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noiseless functions (BBOB 20...
José García-Nieto, Enrique Alba, Jav...
WSOM
2009
Springer
14 years 1 months ago
Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors
This study proposes Network-Structured Particle Swarm Optimizer (NS-PSO) with various neighborhood topology. The proposed PSO has the various network topology as rectangular, hexag...
Haruna Matsushita, Yoshifumi Nishio