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GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 3 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen
GECCO
2004
Springer
129views Optimization» more  GECCO 2004»
15 years 3 months ago
Encoding Bounded-Diameter Spanning Trees with Permutations and with Random Keys
Permutations of vertices can represent constrained spanning trees for evolutionary search via a decoder based on Prim’s algorithm, and random keys can represent permutations. Tho...
Bryant A. Julstrom
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 3 months ago
Central Point Crossover for Neuro-genetic Hybrids
In this paper, we consider each neural network as a point in a multi-dimensional problem space and suggest a crossover that locates the central point of a number of neural networks...
Soonchul Jung, Byung Ro Moon
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
15 years 3 months ago
Clustering with Niching Genetic K-means Algorithm
GA-based clustering algorithms often employ either simple GA, steady state GA or their variants and fail to consistently and efficiently identify high quality solutions (best known...
Weiguo Sheng, Allan Tucker, Xiaohui Liu
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 3 months ago
Analysis of the (1+1) EA for a Noisy OneMax
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
Stefan Droste