164 search results - page 3 / 33 » Multi-Objective Evolutionary Algorithms and Pattern Search M... |
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. We describe and critique the convergence properties of filterbased evolutionary pattern search algorithms (F-EPSAs). F-EPSAs implicitly use a filter to perform a multi-...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Evolution of quantum circuits faces two major challenges: complex and huge search spaces and the high costs of simulating quantum circuits on conventional computers. In this paper ...
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...
KES
2008
Springer
13 years 5 months ago
2008
Springer
Evolutionary techniques provide powerful tools to design novel solutions for hard problems in different areas. However, the problem of scale (i.e. how to create a large, complex s...