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CP
2000
Springer
13 years 12 months ago
Linear Formulation of Constraint Programming Models and Hybrid Solvers
Constraint programming offers a variety of modeling objects such as logical and global constraints, that lead to concise and clear models for expressing combinatorial optimization...
Philippe Refalo
ISSAC
2007
Springer
111views Mathematics» more  ISSAC 2007»
14 years 1 months ago
Numerical optimization in hybrid symbolic-numeric computation
Approximate symbolic computation problems can be formulated as constrained or unconstrained optimization problems, for example: GCD [3, 8, 12, 13, 23], factorization [5, 10], and ...
Lihong Zhi
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
13 years 11 months ago
A fast hybrid genetic algorithm for the quadratic assignment problem
Genetic algorithms (GAs) have recently become very popular by solving combinatorial optimization problems. In this paper, we propose an extension of the hybrid genetic algorithm f...
Alfonsas Misevicius
ALMOB
2006
138views more  ALMOB 2006»
13 years 7 months ago
A combinatorial optimization approach for diverse motif finding applications
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
Elena Zaslavsky, Mona Singh
WEA
2004
Springer
120views Algorithms» more  WEA 2004»
14 years 25 days ago
An Improved Time-Sensitive Metaheuristic Framework for Combinatorial Optimization
We introduce a metaheuristic framework for combinatorial optimization. Our framework is similar to others (e.g. [1]) in that it is modular enough that important components can be i...
Vinhthuy T. Phan, Steven Skiena