165 search results - page 11 / 33 » On Test Functions for Evolutionary Multi-objective Optimizat... |
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. To improve the efficiency of the currently known evolutionary algorithms, we have proposed two complementary efficiency speed-up strategies in our previous research work ...
GECCO
2010
Springer
13 years 12 months ago
2010
Springer
We investigate how a niching based evolutionary algorithm fares on the BBOB function test set, knowing that most problems are not very well suited to this algorithm class. However...
EVOW
2009
Springer
13 years 6 months ago
2009
Springer
One of the purposes of Systems Biology is the quantitative modeling of biochemical networks. In this effort, the use of dynamical mathematical models provides for powerful tools in...
GECCO
2004
Springer
2004
Springer
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
14 years 1 months ago
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 ...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...