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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Annals of operations research 63 (1996), S. 511-623 
    ISSN: 1572-9338
    Keywords: Artificial intelligence ; bibliography ; combinatorial optimization ; constraint logic programming ; evolutionary computation ; genetic algorithms ; greedy random adaptive search procedure ; heuristics ; hybrids ; local search ; metaheuristics ; neural networks ; non-monotonic search strategies ; problem-space method ; simulated annealing ; tabu search ; threshold algorithms
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract Metaheuristics are the most exciting development in approximate optimization techniques of the last two decades. They have had widespread successes in attacking a variety of difficult combinatorial optimization problems that arise in many practical areas. This bibliography provides a classification of a comprehensive list of 1380 references on the theory and application of metaheuristics. Metaheuristics include but are not limited to constraint logic programming; greedy random adaptive search procedures; natural evolutionary computation; neural networks; non-monotonic search strategies; space-search methods; simulated annealing; tabu search; threshold algorithms and their hybrids. References are presented in alphabetical order under a number of subheadings.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1572-9397
    Keywords: clustered traveling salesman problem ; tabu search ; diversification ; genetic algorithms ; crossover
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The clustered traveling salesman problem is an extension of the classical traveling salesman problem where the set of vertices is partitioned into clusters. The objective is to find a least cost Hamiltonian cycle such that the vertices of each cluster are visited contiguously and the clusters are visited in a prespecified order. A tabu search heuristic is proposed to solve this problem. This algorithm periodically restarts its search by merging two elite solutions to form a new starting solution (in a manner reminiscent of genetic algorithms). Computational results are reported on sets of Euclidean problems with different characteristics.
    Type of Medium: Electronic Resource
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