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AAAI
1994
13 years 6 months ago
GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement
New approaches to solving constraint satisfaction problems using iterative improvement techniques have been found to be successful on certain, very large problems such as the mill...
Andrew J. Davenport, Edward P. K. Tsang, Chang J. ...
CPAIOR
2007
Springer
13 years 11 months ago
Preprocessing Expression-Based Constraint Satisfaction Problems for Stochastic Local Search
Abstract. This work presents methods for processing a constraint satisfaction problem (CSP) formulated by an expression-based language, before the CSP is presented to a stochastic ...
Sivan Sabato, Yehuda Naveh
CP
2005
Springer
13 years 10 months ago
Bounds-Consistent Local Search
This paper describes a hybrid approach to solving large-scale constraint satisfaction and optimization problems. It describes a hybrid algorithm for integer linear programming whic...
Stefania Verachi, Steven David Prestwich
GECCO
1999
Springer
158views Optimization» more  GECCO 1999»
13 years 9 months ago
Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems
In this paper, we discuss the adaptability of Coevolutionary Genetic Algorithms on dynamic environments. Our CGA consists of two populations: solution-level one and schema-level o...
Hisashi Handa, Osamu Katai, Tadataka Konishi, Mits...
GECCO
2000
Springer
225views Optimization» more  GECCO 2000»
13 years 9 months ago
Solving Large Binary Quadratic Programming Problems by Effective Genetic Local Search Algorithm
A genetic local search (GLS) algorithm, which is a combination technique of genetic algorithm and local search, for the unconstrained binary quadratic programming problem (BQP) is...
Kengo Katayama, Masafumi Tani, Hiroyuki Narihisa