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NC
2002
210views Neural Networks» more  NC 2002»
13 years 7 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
ICTAI
2007
IEEE
14 years 1 months ago
Ant Colony Optimization for Multi-Objective Optimization Problems
We propose in this paper a generic algorithm based on Ant Colony Optimization to solve multi-objective optimization problems. The proposed algorithm is parameterized by the number...
Inès Alaya, Christine Solnon, Khaled Gh&eac...
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
JOTA
2010
127views more  JOTA 2010»
13 years 2 months ago
Optimization Over the Efficient Set of Multi-objective Convex Optimal Control Problems
We consider multi-objective convex optimal control problems. First we state a relationship between the (weakly or properly) efficient set of the multi-objective problem and the sol...
Henri Bonnel, C. Yalçin Kaya
SOCO
2012
Springer
12 years 3 months ago
Variable mesh optimization for continuous optimization problems
Abstract Population-based meta-heuristics are algorithms that can obtain very good results for complex continuous optimization problems in a reduced amount of time. These search al...
Amilkar Puris, Rafael Bello, Daniel Molina, Franci...