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» A framework for the description of evolutionary algorithms
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GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
14 years 1 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
ICTAI
2002
IEEE
14 years 12 days ago
Data Mining Using Cultural Algorithms and Regional Schemata
In the paper we demonstrate how evolutionary search for functional optima can be used as a vehicle for data mining. That is, in the process of searching for optima in a multi-dime...
Xidong Jin, Robert G. Reynolds
ESANN
2003
13 years 8 months ago
Extraction of fuzzy rules from trained neural network using evolutionary algorithm
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
Urszula Markowska-Kaczmar, Wojciech Trelak
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 26 days ago
A New Universal Cellular Automaton Discovered by Evolutionary Algorithms
In Twenty Problems in the Theory of Cellular Automata, Stephen Wolfram asks “how common computational universality and undecidability [are] in cellular automata.” This papers p...
Emmanuel Sapin, Olivier Bailleux, Jean-Jacques Cha...
ICCSA
2007
Springer
14 years 1 months ago
Quasi-hierarchical Evolutionary Algorithm for Flow Optimization in Survivable MPLS Networks
In this paper we address the problem of working paths optimization in survivable MPLS network. We focus on an existing facility network, in which only network flows can be optimize...
Michal Przewozniczek, Krzysztof Walkowiak