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» Fitness Landscapes and Evolvability
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CEC
2009
IEEE
15 years 1 months ago
Detecting change in dynamic fitness landscapes
Abstract--Change detection enables an evolutionary algorithm operating in a dynamic environment to respond with undertaking necessary steps for maintaining its performance. We cons...
Hendrik Richter
EUROGP
2001
Springer
15 years 2 months ago
Neutrality and the Evolvability of Boolean Function Landscape
This work is a study of neutrality in the context of Evolutionary Computation systems. In particular, we introduce the use of explicit neutrality with an integer string coding sche...
Tina Yu, Julian F. Miller
FOGA
1992
14 years 10 months ago
Relative Building-Block Fitness and the Building Block Hypothesis
The building-block hypothesis states that the GA works well when short, low-order, highly-fit schemas recombine to form even more highly fit higher-order schemas. The ability to p...
Stephanie Forrest, Melanie Mitchell
CEC
2007
IEEE
15 years 3 months ago
Non-separable fitness functions for evolutionary shape optimization benchmarking
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
Tim A. Yates, Thorsten Schnier
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
15 years 2 months ago
Topological Interpretation of Crossover
Abstract. In this paper we give a representation-independent topological definition of crossover that links it tightly to the notion of fitness landscape. Building around this defi...
Alberto Moraglio, Riccardo Poli