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AI
2003
Springer
15 years 9 months ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
15 years 10 months ago
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem
Because of the large number of possible combinations for the fuel assembly loading in the core, the design of the loading pattern (LP) is a complex optimization problem. It requir...
Fatih Alim, Kostadin Ivanov
TSP
2010
14 years 11 months ago
MIMO transceiver optimization with linear constraints on transmitted signal covariance components
Abstract--This correspondence revisits the joint transceiver optimization problem for multiple-input multiple-output (MIMO) channels. The linear transceiver as well as the transcei...
Ching-Chih Weng, P. P. Vaidyanathan
SMI
1999
IEEE
15 years 8 months ago
Variational Constraints in 3D
We discuss how to solve variational constraint problems involving points, lines and planes. We concentrate on small problems that must be solved simultaneously.
Cassiano Durand, Christoph M. Hoffmann
CSCLP
2008
Springer
15 years 6 months ago
Solving CSPs with Naming Games
Abstract. Constraint solving problems (CSPs) represent a formalization of an important class of problems in computer science. We propose here a solving methodology based on the nam...
Stefano Bistarelli, Giorgio Gosti