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» On the Brittleness of Evolutionary Algorithms
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GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
14 years 10 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson
IWSOS
2011
Springer
14 years 9 months ago
Evolving Self-organizing Cellular Automata Based on Neural Network Genotypes
Abstract This paper depicts and evaluates an evolutionary design process for generating a complex self-organizing multicellular system based on Cellular Automata (CA). We extend th...
Wilfried Elmenreich, István Fehérv&a...
EVOW
2009
Springer
16 years 1 months ago
A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony
The Maximum Parsimony problem aims at reconstructing a phylogenetic tree from DNA, RNA or protein sequences while minimizing the number of evolutionary changes. Much work has been ...
Jean-Michel Richer, Adrien Goëffon, Jin-Kao H...
GECCO
2007
Springer
258views Optimization» more  GECCO 2007»
16 years 19 days ago
A genetic algorithm for resident physician scheduling problem
This paper formally presents the resident physician scheduling problem, which is one of the most important scheduling problems in hospital. The resident physician scheduling probl...
Chi-Way Wang, Lei-Ming Sun, Ming-Hui Jin, Chung-Ju...
IPPS
2006
IEEE
16 years 15 days ago
Parallel implementation of a quartet-based algorithm for phylogenetic analysis
This paper describes a parallel implementation of our recently developed algorithm for phylogenetic analysis on the IBM BlueGene/L cluster [15]. This algorithm constructs evolutio...
Bing Bing Zhou, Daniel Chu, Monther Tarawneh, Ping...