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GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 5 months ago
An effective use of crowding distance in multiobjective particle swarm optimization
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
Carlo R. Raquel, Prospero C. Naval Jr.
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 3 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
SWARM
2010
SPRINGER
420views Optimization» more  SWARM 2010»
14 years 10 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
MICAI
2007
Springer
15 years 6 months ago
Handling Constraints in Particle Swarm Optimization Using a Small Population Size
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
Juan Carlos Fuentes Cabrera, Carlos A. Coello Coel...
CEC
2010
IEEE
15 years 29 days ago
Elitist Artificial Bee Colony for constrained real-parameter optimization
Abstract-- A novel algorithm to solve constrained realparameter optimization problems, based on the Artificial Bee Colony algorithm is introduced in this paper. The operators used ...
Efrén Mezura-Montes, Ramiro Ernesto Velez-K...