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» Fitness Landscapes and Evolvability
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GECCO
2004
Springer
15 years 2 months ago
Fitness Clouds and Problem Hardness in Genetic Programming
This paper presents an investigation of genetic programming fitness landscapes. We propose a new indicator of problem hardness for tree-based genetic programming, called negative ...
Leonardo Vanneschi, Manuel Clergue, Philippe Colla...
PPSN
2004
Springer
15 years 2 months ago
A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover
Theoretically and empirically it is clear that a genetic algorithm with crossover will outperform a genetic algorithm without crossover in some fitness landscapes, and vice versa i...
Richard A. Watson
GECCO
2009
Springer
100views Optimization» more  GECCO 2009»
15 years 4 months ago
Partial neighborhoods of elementary landscapes
This paper introduces a new component based model that makes it relatively simple to prove that certain types of landscapes are elementary. We use the model to reconstruct proofs ...
L. Darrell Whitley, Andrew M. Sutton
EUROGP
2005
Springer
117views Optimization» more  EUROGP 2005»
15 years 3 months ago
Extending Particle Swarm Optimisation via Genetic Programming
Abstract. Particle Swarm Optimisers (PSOs) search using a set of interacting particles flying over the fitness landscape. These are typically controlled by forces that encourage ...
Riccardo Poli, William B. Langdon, Owen Holland
LION
2007
Springer
198views Optimization» more  LION 2007»
15 years 3 months ago
Multiobjective Landscape Analysis and the Generalized Assignment Problem
The importance of tuning a search algorithm for the specific features of the target search space has been known for quite some time. However, when dealing with multiobjective prob...
Deon Garrett, Dipankar Dasgupta