15 search results - page 1 / 3 » Population set-based global optimization algorithms: some mo... |
COR
2004
13 years 7 months ago
2004
TEC
2010
13 years 2 months ago
2010
In this paper, we consider the scenario that a population-based algorithm is applied to a numerical optimization problem and a solution needs to be presented within a given time bu...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Multiobjective optimization problems with many local Pareto fronts is a big challenge to evolutionary algorithms. In this paper, two operators, biased initialization and biased cr...
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...