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GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
15 years 11 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
ICPR
2002
IEEE
15 years 11 months ago
Assembly of Puzzles Using a Genetic Algorithm
In this paper, we proposed a method for solving the rectangle piece jigsaw puzzle assembly problem. A shape of a piece is a rectangle, and a picture of a puzzle is only painted in...
Fubito Toyama, Yukihiro Fujiki, Kenji Shoji, Juich...
ICTAI
2000
IEEE
15 years 11 months ago
Constrained genetic algorithms and their applications in nonlinear constrained optimization
This paper presents a problem-independent framework that uni es various mechanisms for solving discrete constrained nonlinear programming (NLP) problems whose functions are not ne...
Benjamin W. Wah, Yixin Chen
GECCO
1999
Springer
15 years 10 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
KDD
1998
ACM
228views Data Mining» more  KDD 1998»
15 years 10 months ago
Direct Marketing Response Models Using Genetic Algorithms
Direct marketing response models seek to identify individuals most likely to respond to marketing solicitations. Such models are commonly evaluatedon classification accuracyand so...
Siddhartha Bhattacharyya