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ICDAR
2003
IEEE
15 years 3 months ago
Comparison of Genetic Algorithm and Sequential Search Methods for Classifier Subset Selection
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
15 years 3 months ago
Using an Immune System Model to Explore Mate Selection in Genetic Algorithms
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
Chien-Feng Huang
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
15 years 3 months ago
Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm
In this paper we present an approach that evolves the consensus sequence [25] for multiple sequence alignment (MSA) with genetic algorithm (GA). We have developed an encoding schem...
Conrad Shyu, James A. Foster
GECCO
1999
Springer
15 years 2 months ago
Infrastructure Work Order Planning Using Genetic Algorithms
Infrastructure management offices plan and complete several thousand small construction projects annually. Effective planning is vital if the public and private sectors are to mai...
E. William East
ICTAI
1996
IEEE
15 years 2 months ago
Applying a Mutation-based Genetic Algorithm to Processor Configuration Problems
The Processor Configuration Problem (PCP) is a Constraint Optimization Problem. The task is to link up a finite set of processors into a network, while minimizing the maximum dist...
T. L. Lau, Edward P. K. Tsang