1149 search results - page 25 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
CEC
2007
IEEE
15 years 5 months ago
2007
IEEE
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
This research screens the tuning parameters of a combinatorial optimization heuristic. Specifically, it presents a Design of Experiments (DOE) approach that uses a Fractional Fac...
PPSN
1998
Springer
15 years 3 months ago
1998
Springer
Many optimization problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints c...
CEC
2007
IEEE
15 years 5 months ago
2007
IEEE
— Hypervolume based multiobjective evolutionary algorithms (MOEA) nowadays seem to be the first choice when handling multiobjective optimization problems with many, i.e., at lea...
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GECCO
2004
Springer
15 years 4 months ago
2004
Springer
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene r...