312 search results - page 18 / 63 » Solving Bilevel Multi-Objective Optimization Problems Using ... |
EMO
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Archives are used in Multi-Objective Evolutionary Algorithms to establish elitism. Depending on the optimization problem, an unconstrained archive may grow to an immense ...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
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 ...
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
—Evolutionary gradient search is a hybrid algorithm that exploits the complementary features of gradient search and evolutionary algorithm to achieve a level of efficiency and r...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...