Abstract | ||
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We are interested in defining a general evolutionary algorithm to solve Constraint Satisfaction Problems, which takes into account both advantages of the systematic and traditional methods and of characteristics of the CSP We present in this paper Evolutionary Algorithms to solve Constraint Satisfaction Problems (CSP). |
Year | DOI | Venue |
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1998 | 10.1109/SCCC.1998.730795 | SCCC |
Keywords | Field | DocType |
constraint satisfaction problem,constraint optimization,evolutionary algorithms,genetic algorithms,stochastic processes,genetics,evolutionary algorithm,evolutionary computation,algorithm design and analysis,constraint satisfaction problems,fitness function | Constraint satisfaction,Local consistency,Mathematical optimization,Computer science,Constraint programming,Constraint graph,Constraint satisfaction problem,Constraint satisfaction dual problem,Artificial intelligence,Backtracking,Machine learning,Hybrid algorithm (constraint satisfaction) | Conference |
ISBN | Citations | PageRank |
0-8186-8616-2 | 0 | 0.34 |
References | Authors | |
11 | 1 |
Name | Order | Citations | PageRank |
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María Cristina Riff | 1 | 200 | 23.91 |