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Download Parallel Processing of Discrete Problems by Ioannis P. Androulakis (auth.), Panos M. Pardalos (eds.) PDF

By Ioannis P. Androulakis (auth.), Panos M. Pardalos (eds.)

In the earlier twenty years, breakthroughs in desktop expertise have made an incredible influence on optimization. specifically, availability of parallel pcs has created immense curiosity in exploring using parallel processing for fixing discrete and worldwide optimization difficulties. The chapters during this quantity disguise a huge spectrum of modern study in parallel processing of discrete and similar difficulties. the subjects mentioned contain dispensed branch-and-bound algorithms, parallel genetic algorithms for big scale discrete difficulties, simulated annealing, parallel branch-and-bound seek lower than limited-memory constraints, parallelization of grasping randomized adaptive seek tactics, parallel optical versions of computing, randomized parallel algorithms, basic thoughts for the layout of parallel discrete algorithms, parallel algorithms for the answer of quadratic task and satisfiability difficulties. The ebook may be a necessary resource of knowledge to college, scholars and researchers in combinatorial optimization and similar areas.

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Parallel Processing of Discrete Problems

Long ago twenty years, breakthroughs in machine expertise have made an incredible impression on optimization. particularly, availability of parallel pcs has created titanic curiosity in exploring using parallel processing for fixing discrete and international optimization difficulties. The chapters during this quantity disguise a huge spectrum of contemporary study in parallel processing of discrete and similar difficulties.

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Extra resources for Parallel Processing of Discrete Problems

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Similarly, in the two-dimensional parallel database design application [GMSJ93] LARGE-SCALE STRUCTURED DISCRETE OPTIMIZATION 39 that originally motivated this line of research, the objective measured centralized communication and was a sum of processor "diversities", where diversity was defined as the number of grid slices intersecting the set of the cells assigned to a processor. In both cases, the approximating problem decomposes into a collection of P subproblems for which we showed how to construct optimal solutions in the case of grids of rectangular cells (so-called 5-point grids).

PARDALOS, A. PHILLIPS, AND J. ROSEN, Topics in Parallel Computing in Mathematical Programming, Science Press, 1992. [24] P. PARDALOS, G. XUE, AND P. PANAGIOTOPOULOS, Parallel algorithms for global optimization: Methods and techniques, in Solving Combinatorial Optimization Problems in Parallel, Lecture Notes in Computer Science, vol. 1054, A. Ferreira and P. , Springer-Verlag, 1996, pp. 232-247. [25] J. PEKNY AND D. MILLER, A parallel branch and bound algorithm for solving large asymmetric traveling salesman problems, Mathematical Programming, 55 (1992), pp.

PEKNY AND D. MILLER, A parallel branch and bound algorithm for solving large asymmetric traveling salesman problems, Mathematical Programming, 55 (1992), pp. 17-33. [26] M. QUINN, Analysis and implementation of branch and bound algorithms on a hypercube multicomputer, mEE Transactions on Computers, 39 (1990), pp. 384387. [27] O. VORNEBERG, Transputer networks for operations research, Journal of Microcomputer Applications, 13 (1990), pp. 69-79. LARGE-SCALE STRUCTURED DISCRETE OPTIMIZATION via PARALLEL GENETIC ALGORITHMS IOANNIS T.

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