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» Parallelism and evolutionary algorithms
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HIS
2008
15 years 5 months ago
New Crossover Operator for Evolutionary Rule Discovery in XCS
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
Sergio Morales-Ortigosa, Albert Orriols-Puig, Este...
94
Voted
EVOW
2004
Springer
15 years 9 months ago
Improvisational Media Space: Architecture and Strategies for Evolution
This paper presents the current state in an ongoing development of the Emonic Environment (EE): a real-time improvisational system employing evolutionary principles for the mutatio...
Paul Nemirovsky, Rebecca Luger-Guillaume
119
Voted
GECCO
2003
Springer
15 years 8 months ago
Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization
Abstract. In this paper, we propose a new constraint-handling technique for evolutionary algorithms which is based on multiobjective optimization concepts. The approach uses Pareto...
Arturo Hernández Aguirre, Salvador Botello ...
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 4 months ago
Ultra high frequency financial data
This note is best described as a ‘Research Challenge’, and concerns building an ultra high frequency (UHF) trading system. The emphasis is on addressing the problems posed by ...
Martin Victor Sewell, Wei Yan
161
Voted
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 9 months ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean