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» Evolving Quasigroups by Genetic Algorithms
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CCGRID
2009
IEEE
14 years 3 months ago
Reliability-Oriented Genetic Algorithm for Workflow Applications Using Max-Min Strategy
— To optimize makespan and reliability for workflow applications, most existing works use list heuristics rather than genetic algorithms (GAs) which can usually give better solut...
Xiaofeng Wang, Rajkumar Buyya, Jinshu Su
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 1 months ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
ICARCV
2002
IEEE
185views Robotics» more  ICARCV 2002»
14 years 2 months ago
Evolving cooperative robotic behaviour using distributed genetic programming
Cooperative robotic systems provide design and implementation challenges that are not easy to solve. This paper describes a parallel implementation for evolving cooperative roboti...
Chris H. Messom, Matthew G. Walker
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
14 years 22 days ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
EUROGP
2005
Springer
118views Optimization» more  EUROGP 2005»
14 years 2 months ago
GP-Robocode: Using Genetic Programming to Evolve Robocode Players
Abstract. This paper describes the first attempt to introduce evolutionarily designed players into the international Robocode league, a simulationbased game wherein robotic tanks ...
Yehonatan Shichel, Eran Ziserman, Moshe Sipper