Titlebook: Computer and Information Sciences - ISCIS 2006; 21th International S Albert Levi,Erkay Savaş,Yücel Saygın Conference proceedings 2006 Sprin

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Outcomes of Agrarian Reform in Russiaimating minimum length Brauer chain for a given number . is discussed. These heuristics are based on some greedy approaches and dynamic programming. As a result, we empirically get 1.1-approximation for the problem.

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Commentary

https://doi.org/10.1007/978-3-319-46388-9lem, where these techniques are the extensions of the leading methods in the literature. Based on the experimental study, it was observed that the hybrid methods outperform the related work with respect to quality of solutions for various parameters of the given benchmark problem.

Increment

Yannis A. Monogios,Panagiotis G. Korliras space (number of objects in database) that retrieval algorithms need to take into account. This method is applicable in clustering based approaches also. Moreover, this minimization is done keeping the accuracy of the retrieval algorithms intact and its efficiency is not severely affected in high dimensionalities.

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Sedative

Hybrid Techniques for Dynamic Optimization Problemslem, where these techniques are the extensions of the leading methods in the literature. Based on the experimental study, it was observed that the hybrid methods outperform the related work with respect to quality of solutions for various parameters of the given benchmark problem.

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Minimizing the Search Space for Shape Retrieval Algorithms space (number of objects in database) that retrieval algorithms need to take into account. This method is applicable in clustering based approaches also. Moreover, this minimization is done keeping the accuracy of the retrieval algorithms intact and its efficiency is not severely affected in high dimensionalities.

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Variable Neighborhood Search for the Orienteering Problemother variations of VNS we tried; it is the most robust and produces the best results, in terms of solution quality, within a reasonable amount of time. Moreover, it improves the best known results for several benchmark problems and reproduces the best results for others.