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» Dynamic Scheduling with Genetic Programming
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EUROGP
1999
Springer
151views Optimization» more  EUROGP 1999»
13 years 11 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
ECRTS
2006
IEEE
14 years 1 months ago
Optimal On-Line Scheduling of Multiple Control Tasks: A Case Study
We study the problem of dynamically scheduling a set of state-feedback control tasks controlling a set of linear plants. We consider an on-line non-preemptive scheduling policy th...
Anton Cervin, Peter Alriksson
AE
2003
Springer
14 years 19 days ago
A Study of Diversity in Multipopulation Genetic Programming
In this work we study how using multiple communicating populations instead of a single panmictic one may help in maintaining diversity during GP runs. After defining suitable geno...
Marco Tomassini, Leonardo Vanneschi, Francisco Fer...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 1 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
KBSE
1997
IEEE
13 years 11 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...