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GECCO
2004
Springer
15 years 8 months ago
Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E...
CEC
2008
IEEE
15 years 9 months ago
A novel co-evolutionary approach to automatic software bug fixing
— Many tasks in Software Engineering are very expensive, and that has led the investigation to how to automate them. In particular, Software Testing can take up to half of the re...
Andrea Arcuri, Xin Yao
GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
14 years 6 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
115
Voted
EVOW
2009
Springer
15 years 9 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...
118
Voted
GECCO
2007
Springer
258views Optimization» more  GECCO 2007»
15 years 8 months 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...