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MICAI
2007
Springer
15 years 8 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...
ICPR
2002
IEEE
15 years 7 months ago
Assembly of Puzzles Using a Genetic Algorithm
In this paper, we proposed a method for solving the rectangle piece jigsaw puzzle assembly problem. A shape of a piece is a rectangle, and a picture of a puzzle is only painted in...
Fubito Toyama, Yukihiro Fujiki, Kenji Shoji, Juich...
MICAI
2004
Springer
15 years 7 months ago
Simple Feasibility Rules and Differential Evolution for Constrained Optimization
In this paper, we propose a differential evolution algorithm to solve constrained optimization problems. Our approach uses three simple selection criteria based on feasibility to g...
Efrén Mezura-Montes, Carlos A. Coello Coell...
CDC
2008
IEEE
161views Control Systems» more  CDC 2008»
15 years 4 months ago
A fast algorithm to compute the controllability, decentralized fixed-mode, and minimum-phase radius of LTI systems
In this paper, an efficient algorithm is presented for solving the 2-D optimization problem which is associated with computing the robustness measures of a number of linear time-in...
Simon Lam, Edward J. Davison
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 6 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro