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EVOW
2009
Springer
13 years 11 months ago
Improving Performance in Combinatorial Optimisation Using Averaging and Clustering
In a recent paper an algorithm for solving MAX-SAT was proposed which worked by clustering good solutions and restarting the search from the closest feasible solutions. This was sh...
Mohamed Qasem, Adam Prügel-Bennett
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
13 years 11 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...
AI
2003
Springer
13 years 10 months ago
An Improved Ant Colony Optimisation Algorithm for the 2D HP Protein Folding Problem
The prediction of a protein’s structure from its amino-acid sequence is one of the most important problems in computational biology. In the current focus on a widely studied abst...
Alena Shmygelska, Holger H. Hoos
HEURISTICS
1998
252views more  HEURISTICS 1998»
13 years 4 months ago
Constraint Handling in Genetic Algorithms: The Set Partitioning Problem
In this paper we present a genetic algorithm-based heuristic for solving the set partitioning problem (SPP). The SPP is an important combinatorial optimisation problem used by man...
P. C. Chu, J. E. Beasley
KDD
2004
ACM
237views Data Mining» more  KDD 2004»
14 years 5 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo