66 search results - page 6 / 14 » Indicator-Based Selection in Multiobjective Search |
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
We focus on the handling of overlapping solutions in evolutionary multiobjective optimization (EMO) algorithms. First we show that there exist a large number of overlapping soluti...
EMO
2009
Springer
14 years 5 days ago
2009
Springer
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
GECCO
2007
Springer
2007
Springer
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
14 years 1 months ago
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
GECCO
2007
Springer
14 years 1 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...