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» Fitness Landscapes and Evolvability
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GECCO
2004
Springer
15 years 2 months ago
The Royal Road Not Taken: A Re-examination of the Reasons for GA Failure on R1
Previous work investigating the performance of genetic algorithms (GAs) has attempted to develop a set of fitness landscapes, called “Royal Roads” functions, which should be id...
Brian Howard, John Sheppard
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 1 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
EVOW
2010
Springer
14 years 7 months ago
Coevolutionary Dynamics of Interacting Species
One of the open questions in evolutionary computation is how an arms race may be initiated between coevolving entities such that the entities acquire new behaviors and increase in ...
Marc Ebner, Richard A. Watson, Jason Alexander
FOGA
1994
14 years 10 months ago
Predictive Models Using Fitness Distributions of Genetic Operators
An important goal of the theory of genetic algorithms is to build predictive models of how well genetic algorithms are expected to perform, given a representation, a fitness lands...
John J. Grefenstette
EH
2002
IEEE
112views Hardware» more  EH 2002»
15 years 2 months ago
Evolving Circuits in Seconds: Experiments with a Stand-Alone Board-Level Evolvable System
The purpose of this paper is twofold: first, to illustrate a stand-alone board-level evolvable system (SABLES) and its performance, and second to illustrate some problems that occ...
Adrian Stoica, Ricardo Salem Zebulum, Michael I. F...