Incorporating kin selection in Simulated Annealing algorithm and its performance evaluation

Article Abstract:

Simulated Annealing (SA) is related to non-traditional randomized search and optimization techniques. The differences between the conventional search techniques and SA are examined. A "kin selection operator" approach enhances the performance of conventional SA algorithm and ensures efficiently guided thorough search in the neighbourhood of the best solution. The effectiveness of the approach shows that the basic principles of SA hold for the proposed methodology as well.

Europe

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A case study in empty railcar distribution

Article Abstract:

The empty railcar distribution problem of Germany's Cargowaggon GmbH, a railcar leasing firm, is studied. Specifically, the problem is reformulated as a machine scheduling and optimization problem whose objective function, minimizing the cost of transporting no-load railcars, is represented by the minimization of the total tardiness. This facilitates the application of a heuristic that was implemented in a greedy algorithm.

Operations research, Research, Management science, Case studies, Traffic engineering

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Solving the continuous flow-shop scheduling problem by metaheuristics

Article Abstract:

The application of different kinds of heuristic methods to the continuous flow-shop scheduling problem are examined. The computational results show that high quality results can be obtained in an efficient way by applying metaheuristics software components with neither the need to understand their inner working nor the necessity to manually tune parameters.

Methods, Evaluation, Heuristic, Mathematical optimization, Optimization theory, Heuristics (Psychology)

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