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GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
16 years 4 days ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
CEC
2010
IEEE
15 years 7 months ago
AGE-P: Moving from concept to technical realization
Even though evolutionary algorithms have been applied to a vast number of problems, they are still not always applicable. As an example, this paper briefly discusses smart applianc...
Stefan Goldmann, Ralf Salomon
177
Voted
IJON
2006
111views more  IJON 2006»
15 years 6 months ago
Applications of multi-objective structure optimization
We present an application of multi-objective evolutionary optimization of feed-forward neural networks (NN) to two real world problems, car and face classification. The possibly co...
Alexander Gepperth, Stefan Roth
EC
2000
187views ECommerce» more  EC 2000»
15 years 6 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele
BIOADIT
2004
Springer
16 years 5 days ago
Searching for a Practical Evidence of the No Free Lunch Theorems
Abstract. According to the No Free Lunch (NFL) theorems all blackbox algorithms perform equally well when compared over the entire set of optimization problems. An important proble...
Mihai Oltean