165 search results - page 13 / 33 » On Test Functions for Evolutionary Multi-objective Optimizat... |
CEC
2009
IEEE
14 years 3 months ago
2009
IEEE
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
ISICA
2007
Springer
14 years 2 months ago
2007
Springer
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
The generalized generation gap (G3) model of an evolutionary algorithm equipped with the parent centric crossover (PCX) is tested on the BBOB 2009 benchmark testbed. To improve it...
BIOADIT
2004
Springer
14 years 1 months ago
2004
Springer
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...
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...