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GECCO
1999
Springer
145views Optimization» more  GECCO 1999»
13 years 10 months ago
Three Ways to Grow Designs: A Comparison of Embryogenies for an Evolutionary Design Problem
This paper explores the use of growth processes, or embryogenies, to map genotypes to phenotypes within evolutionary systems. Following a summary of the significant features of em...
Peter J. Bentley, Sanjeev Kumar
GECCO
1999
Springer
13 years 10 months ago
A parameter-less genetic algorithm
From the user’s point of view, setting the parameters of a genetic algorithm (GA) is far from a trivial task. Moreover, the user is typically not interested in population sizes,...
Georges R. Harik, Fernando G. Lobo
GECCO
1999
Springer
126views Optimization» more  GECCO 1999»
13 years 10 months ago
Improving Genetic Algorithms by Search Space Reductions (with Applications to Flow Shop Scheduling)
Crossover operators that preserve common components can also preserve representation level constraints. Consequently, these constraints can be used to beneficially reduce the sea...
Stephen Y. Chen, Stephen F. Smith
GECCO
1999
Springer
13 years 10 months ago
Infrastructure Work Order Planning Using Genetic Algorithms
Infrastructure management offices plan and complete several thousand small construction projects annually. Effective planning is vital if the public and private sectors are to mai...
E. William East
GECCO
1999
Springer
142views Optimization» more  GECCO 1999»
13 years 10 months ago
Towards Byte Code Genetic Programming
This paper uses the GP paradigm to evolve linear genotypes (individuals) that consist of Java byte code. Our prototype GP system is implemented in Java using a standard Java devel...
Brad Harvey, James A. Foster, Deborah A. Frincke