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GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
13 years 10 months ago
Metaphor for learning: an evolutionary algorithm
The organizational algorithm is examined as a computational approach to representing interpersonal learning. The structure of the algorithm is introduced and described in context ...
Jody Lee Louse, Alexander Kain, James Hines
GECCO
2000
Springer
145views Optimization» more  GECCO 2000»
13 years 10 months ago
Enhancing the GA's Ability to Cope with Dynamic Environments
: The Shifting Balance Genetic Algorithm (SBGA) is a pluggable module for a GA (or any other Evolutionary Algorithm) based on a modification of Sewall Wright's shifting balanc...
Mark Wineberg, Franz Oppacher
GECCO
2000
Springer
145views Optimization» more  GECCO 2000»
13 years 10 months ago
A New Genetic Algorithm for Minimum Span Frequency Assignment using Permutation and Clique
We propose a new Genetic Algorithm (GA) for solving the minimum span frequency assignment problem (MSFAP). The MSFAP is minimizing the range of the frequencies assigned to each tr...
Shouichi Matsui, Ken-ichi Tokoro
GECCO
2000
Springer
141views Optimization» more  GECCO 2000»
13 years 10 months ago
A steady-state evolutionary algorithm for the job shop problem
This paper describes an evolutionary search scheduling algorithm (ESSA) for the job shop scheduling problem (JSSP). If no specific knowledge of the problem is included in the EA t...
Patrick van Bael, Dirk Devogelaere, Marcel Rijckae...
GECCO
2000
Springer
123views Optimization» more  GECCO 2000»
13 years 10 months ago
Genomic computing: explanatory modelling for functional genomics
Many newly discovered genes are of unknown function. DNA microarrays are a method for determining the expression levels of all genes in an organism for which a complete genome seq...
Richard J. Gilbert, Jem J. Rowland, Douglas B. Kel...