EMO
2006
Springer
14 years 3 months ago
2006
Springer
Recent works in evolutionary multiobjective optimization suggest to shift the focus from solely evaluating optimization success in the objective space to also taking the decision s...
EMO
2006
Springer
14 years 3 months ago
2006
Springer
This paper presents a comprehensive comparison between the performance of state-of-the-art genetic algorithms NSGA-II, SPEA2 and IBEA and their differential evolution based variant...
EMO
2006
Springer
14 years 3 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 ...
EMO
2006
Springer
14 years 3 months ago
2006
Springer
This paper presents results of extensive computational experiments in which evolutionary multiobjective algorithms were used to find Pareto-optimal solutions to a complex structura...
EMO
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
EMO
2006
Springer
14 years 3 months ago
2006
Springer
The design of quality measures for approximations of the Pareto-optimal set is of high importance not only for the performance assessment, but also for the construction of multiobj...
EMO
2006
Springer
14 years 3 months ago
2006
Springer
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
EMO
2006
Springer
14 years 3 months ago
2006
Springer
Multi-Objective Evolutionary Algorithms (MOEA) have been succesfully applied to solve control problems. However, many improvements are still to be accomplished. In this paper a new...
EMO
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. Optimization in changing environment is a challenging task, especially when multiple objectives are to be optimized simultaneously. The basic idea to address dynamic opti...
EMO
2006
Springer
14 years 3 months ago
2006
Springer
Many-objective optimization refers to optimization problems with a number of objectives considerably larger than two or three. In this paper, a study on the performance of the Fast...