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GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
15 years 3 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
EUROGP
2007
Springer
129views Optimization» more  EUROGP 2007»
15 years 4 months ago
Genetic Programming Heuristics for Multiple Machine Scheduling
In this paper we present a method for creating scheduling heuristics for parallel proportional machine scheduling environment and arbitrary performance criteria. Genetic programmin...
Domagoj Jakobovic, Leonardo Jelenkovic, Leo Budin
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 3 months ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
Isolating the benefits of respect
The three mechanisms of crossover are transmission, assortment, and respect. Of these three mechanisms, assortment (i.e. recombination) is traditionally viewed as the primary feat...
Stephen Chen, Gregory Pitt
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
14 years 11 months ago
Maintaining diversity through adaptive selection, crossover and mutation
This paper presents an Adaptive Genetic Algorithm (AGA) where selection pressure, crossover and mutation probabilities are adapted according to population diversity statistics. Th...
Brian McGinley, Fearghal Morgan, Colm O'Riordan