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.)

ISBN-10: 3540419209

ISBN-13: 9783540419204

This ebook 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 provided have been rigorously reviewed and chosen out of seventy five submissions. The papers are prepared in topical sections on graph difficulties, Knapsack difficulties, ant algorithms, task difficulties, evolutionary algorithms research, permutative difficulties, aeronautics, picture research and sign processing, evolutionary studying, and evolutionary scheduling and timetabling.

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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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C Springer-Verlag Berlin Heidelberg 2001 Application of GRASP to the Multiconstraint Knapsack Problem 31 Input Problem Instance(I); //I = (· · · , N, · · ·) S ∗ ← Initialize Best(I); while not finished do { S ← Construct Solution(I, g, α); S ← Local Search(S); S ∗ ← Best Of(S , S ∗ ); } Output S ∗ Fig. 1. Structure of a GRASP The RCL is determined using gS together with a parameter, α. In this paper, the RCL in a GRASP is defined to be the best α |FS | candidate components, where 0 < α ≤ 1. In this case, if α is fixed at the start of the algorithm, then at one extreme (α → 0) the construction phase of a GRASP simply gives a greedy construction, whilst at the other extreme (α = 1) it delivers a random construction.

6. 6. , Corne D. A new evolutionary approach to the degree constrained minimum spanning tree problem. IEEE Transactions on Evolutionary Computation, Volume 4 number 2, pp. 125-134, July 2000. 7. Raidl G. , Drexel C. A Predecessor Coding in an Evolutionary Algorithm for the Capacitated Minimum Spanning Tree Problem. Late-Breaking-Papers Proc. of the 2000 Genetic and Evolutionary Computation Conference, Las Vegas, NV, pp. 309-316, July 2000. , Bouchebaba Y. A new genetic algorithm for the optical communication spanning tree problem.

The graph GA = (V, E ∪ AUG) is edge-biconnected. The goal is to augment graph G using a subset S of edges from AUG with minimum total costs c(S) = e∈S c(e), so that graph GS (V, E ∪ S) is also edgebiconnected. In graph G, an edge e ∈ E is called a bridge if its deletion disconnects G. GS must therefore not contain any bridges. That is why this problem is also called bridge-connectivity augmentation problem. The problem has been stated the first time by Eswaran and Tarjan [1]. In this work a polynomial algorithm for E2AUG is given for the specific case when all edge costs are the same and graph GA is complete.

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Applications of Evolutionary Computing: EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM Como, Italy, April 18–20, 2001 Proceedings by Thomas Gaube, Franz Rothlauf (auth.), Egbert J. W. Boers (eds.)


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