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GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
16 years 21 days ago
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover
Multiobjective optimization problems with many local Pareto fronts is a big challenge to evolutionary algorithms. In this paper, two operators, biased initialization and biased cr...
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sen...
CEC
2005
IEEE
16 years 5 days ago
Clustering-based approach to identify solutions for the inference of regulatory networks
Abstract- In this paper we address the problem of finding valid solutions for the problem of inferring gene regulatory networks. Different approaches to directly infer the depende...
Christian Spieth, Felix Streichert, Nora Speer, An...
WABI
2005
Springer
16 years 22 hour ago
Minimum Recombination Histories by Branch and Bound
Recombination plays an important role in creating genetic diversity within species, and inferring past recombination events is central to many problems in genetics. Given a set M o...
Rune B. Lyngsø, Yun S. Song, Jotun Hein
GECCO
2004
Springer
15 years 12 months ago
Memetic Crossover for Genetic Programming: Evolution Through Imitation
For problems where the evaluation of an individual is the dominant factor in the total computation time of the evolutionary process, minimizing the number of evaluations becomes cr...
Brent E. Eskridge, Dean F. Hougen
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 12 months ago
Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function
Abstract. We demonstrate a fully automated method for obtaining a closedform approximation of a recursive function. This method resulted from a realworld problem in which we had a ...
Evan Kirshenbaum, Henri Jacques Suermondt