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112
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GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 9 months ago
Environment as a spatial constraint on the growth of structural form
We explore the use of the developmental environment as a spatial constraint on a model of Artificial Embryogeny, applied to the growth of structural forms. A Deva model is used t...
Taras Kowaliw, Peter Grogono, Nawwaf N. Kharma
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 9 months ago
Choice and development
The process of development creates a phenotype from one or more genotypes of an individual through interaction with an environment. The opportunity for development to choose a phe...
Arthur M. Farley
117
Voted
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
15 years 9 months ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
121
Voted
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 9 months ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...
GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
15 years 9 months ago
MILCS: a mutual information learning classifier system
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
Robert Elliott Smith, Max Kun Jiang
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