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CORR
2010
Springer
114views Education» more  CORR 2010»
13 years 1 months ago
On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms
The interplay between the mutation operator and the selection mechanism plays a fundamental role in the behaviour of evolutionary algorithms (EAs). However, this interplay is stil...
Per Kristian Lehre, Xin Yao
CORR
2004
Springer
92views Education» more  CORR 2004»
13 years 4 months ago
Tournament versus Fitness Uniform Selection
1 In evolutionary algorithms a critical parameter that must be tuned is that of selection pressure. If it is set too low then the rate of convergence towards the optimum is likely...
Shane Legg, Marcus Hutter, Akshat Kumar
CORR
2006
Springer
94views Education» more  CORR 2006»
13 years 4 months ago
Fitness Uniform Optimization
Abstract-- In evolutionary algorithms, the fitness of a population increases with time by mutating and recombining individuals and by a biased selection of more fit individuals. Th...
Marcus Hutter, Shane Legg
EPS
1997
Springer
13 years 8 months ago
An Individually Variable Mutation-Rate Strategy for Genetic Algorithms
Abstract. In Neo-Darwinism, mutation can be considered to be unaffected by selection pressure. This is the metaphor generally used by the genetic algorithm for its treatment of the...
Stephen A. Stanhope, Jason M. Daida
GECCO
2003
Springer
13 years 9 months ago
Selection Intensity in Asynchronous Cellular Evolutionary Algorithms
Abstract. This paper presents a theoretical study of the selection pressure in asynchronous cellular evolutionary algorithms (cEAs). This work is motivated by the search for a gene...
Mario Giacobini, Enrique Alba, Marco Tomassini
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
13 years 10 months ago
Parameter-Less Hierarchical BOA
Abstract. The parameter-less hierarchical Bayesian optimization algorithm (hBOA) enables the use of hBOA without the need for tuning parameters for solving each problem instance. T...
Martin Pelikan, Tz-Kai Lin
GECCO
2007
Springer
117views Optimization» more  GECCO 2007»
13 years 10 months ago
Modeling selection pressure in XCS for proportionate and tournament selection
In this paper, we derive models of the selection pressure in XCS for proportionate (roulette wheel) selection and tournament selection. We show that these models can explain the e...
Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanz...
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
13 years 10 months ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae