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GECCO
1999
Springer
158views Optimization» more  GECCO 1999»
15 years 2 months ago
Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems
In this paper, we discuss the adaptability of Coevolutionary Genetic Algorithms on dynamic environments. Our CGA consists of two populations: solution-level one and schema-level o...
Hisashi Handa, Osamu Katai, Tadataka Konishi, Mits...
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 3 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 1 months ago
Instance similarity and the effectiveness of case injection in a genetic algorithm for binary quadratic programming
When an evolutionary algorithm addresses a sequence of instances of the same problem, it can seed its population with solutions that it found for previous instances. This techniqu...
Jason Amunrud, Bryant A. Julstrom
KBS
2002
106views more  KBS 2002»
14 years 9 months ago
Genetic rule induction at an intermediate level
Lists of if
Ton Weijters, Jan Paredis
GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
15 years 1 months ago
Domain Knowledge and Representation in Genetic Algorithms for Real World Scheduling Problems
This paper discusses the issues that arise in the design and implementation of an industrialstrength evolutionary-based system for the optimization of the monthly work schedules f...
Ioannis T. Christou, Armand Zakarian