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GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
15 years 12 months ago
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
Joc Cing Tay, Djoko Wibowo
PPSN
2004
Springer
15 years 12 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong
GECCO
2003
Springer
155views Optimization» more  GECCO 2003»
15 years 11 months ago
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...
Kwong-Sak Leung, Yong Liang
EH
2002
IEEE
104views Hardware» more  EH 2002»
15 years 11 months ago
Evolvable Hardware for the Generation of Sequential Filter Circuits
Evolutionary algorithms (EAs) are regularly used both for the solution of scheduling problems, and for the creation of digital circuit designs. This paper describes a unified app...
Robert Thomson, Tughrul Arslan
IJCNN
2000
IEEE
15 years 11 months ago
Evolving Neural Network Structures Using Axonal Growth Mechanisms
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
Peter Eggenberger