66 search results - page 2 / 14 » Flexibility of design variables to pareto-optimal solutions ... |
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
— A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these metho...
ISICA
2007
Springer
13 years 11 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
2007
IEEE
13 years 11 months ago
2007
IEEE
— Many problems in the engineering domain involve more than one objective to be optimized simultaneously. The optimal solution to a multi-objective function results in a set of e...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...