Titlebook: Recent Advances in Computational Optimization; Results of the Works Stefka Fidanova Book 2022 The Editor(s) (if applicable) and The Author(

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書目名稱Recent Advances in Computational Optimization影響因子(影響力)




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書目名稱Recent Advances in Computational Optimization網(wǎng)絡公開度學科排名




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書目名稱Recent Advances in Computational Optimization被引頻次學科排名




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書目名稱Recent Advances in Computational Optimization年度引用學科排名




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,Monitoring a?Fleet of?Autonomous Vehicles Through A* Like Algorithms and?Reinforcement Learning,ation of the risk induced by the traversal of any arc at a given time. We set a model, state some structural results, and design, in order to route and schedule the vehicles according to a well-fitted compromise between speed and risk, a bi-level algorithm and a A* algorithm which both relies on a reinforcement learning scheme.

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Optimized Nano Grid Approach for Small Critical Loads,tant, which makes such consumers very suitable for micro or nano grids. The paper presents an optimized control algorithm. The numerical example illustrates load profiles based on data collected for a given point.

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Book 2022orithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems..

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Application of an Interval-Valued Intuitionistic Fuzzy Decision-Making Method in Outsourcing Using further outline the principles of a software program for automated solution of an optimal interval-valued intuitionistic fuzzy multicriteria decision-making problem (IVIFIMOA) in outsourcing for the selection of the most appropriate candidates. As an example of a case study, an application of the algorithm on example company data is demonstrated.

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