Sciweavers

EMO
2006
Springer
87views Optimization» more  EMO 2006»
13 years 8 months ago
Symbolic Archive Representation for a Fast Nondominance Test
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 ...
Martin Lukasiewycz, Michael Glaß, Christian ...
EMO
2006
Springer
144views Optimization» more  EMO 2006»
13 years 8 months ago
Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings
This paper presents results of extensive computational experiments in which evolutionary multiobjective algorithms were used to find Pareto-optimal solutions to a complex structura...
Rafal Kicinger, Shigeru Obayashi, Tomasz Arciszews...
EMO
2006
Springer
219views Optimization» more  EMO 2006»
13 years 8 months ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...
EMO
2006
Springer
158views Optimization» more  EMO 2006»
13 years 8 months ago
The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration
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...
Eckart Zitzler, Dimo Brockhoff, Lothar Thiele
EMO
2006
Springer
170views Optimization» more  EMO 2006»
13 years 8 months ago
Robust Multi-Objective Optimization in High Dimensional Spaces
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...
André Sülflow, Nicole Drechsler, Rolf ...
EMO
2006
Springer
182views Optimization» more  EMO 2006»
13 years 8 months ago
Multi-objective Pole Placement with Evolutionary Algorithms
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...
Gustavo Sánchez, Minaya Villasana, Miguel S...
EMO
2006
Springer
113views Optimization» more  EMO 2006»
13 years 8 months ago
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization
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...
Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sen...
EMO
2006
Springer
122views Optimization» more  EMO 2006»
13 years 8 months ago
Substitute Distance Assignments in NSGA-II for Handling Many-objective Optimization Problems
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...
Mario Köppen, Kaori Yoshida