Download Applications of Evolutionary Computing: EvoWorkshops 2001: by Thomas Gaube, Franz Rothlauf (auth.), Egbert J. W. Boers PDF

By Thomas Gaube, Franz Rothlauf (auth.), Egbert J. W. Boers (eds.)

This booklet constitutes the refereed court cases of 5 application-oriented workshops held at the same time as EvoWorkshops 2001 in Como, Italy in April 2001.
The fifty two revised complete papers offered have been conscientiously reviewed and chosen out of seventy five submissions. The papers are equipped in topical sections on graph difficulties, Knapsack difficulties, ant algorithms, project difficulties, evolutionary algorithms research, permutative difficulties, aeronautics, picture research and sign processing, evolutionary studying, and evolutionary scheduling and timetabling.

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Read Online or Download Applications of Evolutionary Computing: EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM Como, Italy, April 18–20, 2001 Proceedings PDF

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Additional info for Applications of Evolutionary Computing: EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM Como, Italy, April 18–20, 2001 Proceedings

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Using the more general GRASP of figure 5, which can start from any initial solution may lead to even better results. References 1. : Greedy randomized adaptive search procedures. J. of Global Optimization 6 (1995) 109–133 2. Weingarter, H. : Mathematical programming and the analysis of capital budgeting problems. Markham Publishing (1967) Chicago 3. : A Branch and Bound Method for the Multiconstraint Zero-One Knapsack Problem. J. of the Operational Res. Soc. 30 (1979) 369–378 4. , Troya, J. : A hybrid genetic algorithm for the 0-1 multiple knapsack problem.

8. A. Zhu, S. Khuller, and B. Raghavachari. A uniform framework for approximating weighted connectivity problems. In Proceedings of the 10th ACM-SIAM Symposium on Discrete Algorithms, pages 937–938, 1999. 9. J. Kratica. Improving performances of the genetic algorithm by caching. Computers and Artificial Intelligence, 18(3):271–283, 1999. 10. W. Mader. Minimale n-fach kantenzusammenh¨ angende Graphen. Math. , 191:21–28, 1971. 11. P. Moscato. Memetic algorithms: A short introduction. In D. , editor, New Ideas in Optimization, pages 219–234.

J´ aj´ a. Approximation algorithms for several graph augmentation problems. SIAM Journal on Computing, 10(2):270–283, 1981. 5. H. N. Gabow, Z. Galil, T. Spencer, and R. E. Tarjan. Efficient algorithms for finding minimum spanning trees in undirected and directed graphs. Combinatorica, 6(2):109–122, 1986. 6. S. Khuller and R. Thurimella. Approximation algorithms for graph augmentation. Journal of Algorithms, 14(2):214–225, 1993. 7. A. Zhu. A uniform framework for approximating weighted connectivity problems.

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