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Business, international

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Global optimization methods for high-dimensional problems

Article Abstract:

A study has been conducted to examine the efficiency of stochastic techniques when used with deterministic local search methods to solve moderately sized multimodal optimization problems. A set of computational tests were performed in order to check the numerical feasibility of proposed algorithmic schemes. Findings have revealed that the stochastic methods developed can be used for exploiting problem structure and concentrating samples near atom configurations with known good physical properties and low potential energy.

Author: Schoen, Fabio
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1999
Operations Research, Nonlinear programming

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On a 2-dimensional equipartition problem

Article Abstract:

A study was conducted to determine a solution for a two-dimensional equipartition problem using several heuristic algorithms. The problem focused on dividing a grid graph into rectangular subgrids utilizing horizontal and vertical cuts. The effectiveness of the algorithm was evaluated over a range of randomly generated problems. Results indicated two Tabu search algorithms that can effectively determine a solution for the equipartition problem.

Author: Simeone, Bruno, Conti, Francesco, Malucelli, Federico, Nicoloso, Sara
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1999
Usage, Algorithms, Heuristic programming, Graph theory, Approximation theory, Approximation

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Path equipartition in the Chebyshev norm

Article Abstract:

A Chebyshev Path Equipartition problem is considered.

Author: Liverani, Marco, Morgana, Aurora, Simeone, Bruno, Storchi, Giovanni
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2000

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Subjects list: Operations research, Research, Management science, Analysis, Combinatorial optimization
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