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The kernel technology is proposed to solve discrete optimization problems. It forms solution kernel and allows efficient stochastic perturbations of this solution in iterative schemes. Comparative analysis of the two… Click to show full abstract
The kernel technology is proposed to solve discrete optimization problems. It forms solution kernel and allows efficient stochastic perturbations of this solution in iterative schemes. Comparative analysis of the two versions of the new algorithm for the quadratic assignment problem (with and without kernel allocation technology) and modern algorithms demonstrated the efficiency of this technology in terms of speed and solution quality. The kernel technology can be easily incorporated into the available algorithms.
Journal Title: Cybernetics and Systems Analysis
Year Published: 2017
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