Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Integer and combinatorial optimization
Integer and combinatorial optimization
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Tabu search for nonlinear and parametric optimization (with links to genetic algorithms)
Discrete Applied Mathematics - Special volume: viewpoints on optimization
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Tabu Search
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
An interactive evolutionary algorithm for multiple objective convex integer problems
Proceedings of the 12th International Conference on Computer Systems and Technologies
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In this paper an accelerating technique designed to improve the convergence speed of the population based algorithms is proposed. An illustration of this technique is presented on a genetic algorithm, performing such acceleration steps to solve a nonlinear integer programming problem. The encouraging results show that the combination of genetic and of population based algorithms with such enhancement may lead to hybrid search procedures with very good convergence properties.