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139
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EUROGP
1999
Springer
151views Optimization» more  EUROGP 1999»
15 years 9 months ago
Phenotype Plasticity in Genetic Programming: A Comparison of Darwinian and Lamarckian Inheritance Schemes
Abstract We consider a form of phenotype plasticity in Genetic Programming (GP). This takes the form of a set of real-valued numerical parameters associated with each individual, a...
Anna Esparcia-Alcázar, Ken Sharman
136
Voted
GECCO
1999
Springer
126views Optimization» more  GECCO 1999»
15 years 9 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
102
Voted
GECCO
1999
Springer
15 years 9 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
120
Voted
PPSN
1998
Springer
15 years 8 months ago
Restart Scheduling for Genetic Algorithms
Abstract. In order to escape from local optima, it is standard practice to periodically restart a genetic algorithm according to some restart criteria/policy. This paper addresses ...
Alex S. Fukunaga
ICTAI
1996
IEEE
15 years 8 months ago
Applying a Mutation-based Genetic Algorithm to Processor Configuration Problems
The Processor Configuration Problem (PCP) is a Constraint Optimization Problem. The task is to link up a finite set of processors into a network, while minimizing the maximum dist...
T. L. Lau, Edward P. K. Tsang