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IPPS
1999
IEEE
13 years 9 months ago
Distributed Scheduling with Decomposed Optimization Criterion: Genetic Programming Approach
Abstract. A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of t...
Franciszek Seredynski, Jacek Koronacki, Cezary Z. ...
JUCS
2007
150views more  JUCS 2007»
13 years 5 months ago
Co-evolution for Communication: An EHW Approach
: Evolvable Hardware (EHW) is a new concept that aims the application of evolutionary algorithms to hardware design. EHW can adapt itself to unknown environment based on features o...
Yasser Baleghi Damavandi, Karim Mohammadi
PPSN
2000
Springer
13 years 8 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
13 years 11 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....
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
13 years 9 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood