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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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发表于 2025-3-21 17:03:20 | 显示全部楼层 |阅读模式
书目名称Recent Advances in Computational Optimization
副标题Results of the Works
编辑Stefka Fidanova
视频video
概述Tries to minimize our effort and to maximize the achieved profit.Presents many real world and industrial problems arising in engineering, economics, and medicine.Gives a collection of extended contrib
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Recent Advances in Computational Optimization; Results of the Works Stefka Fidanova Book 2022 The Editor(s) (if applicable) and The Author(
描述This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, transportation problems, machine scheduling, air pollution modeling, solving multiple integrals and systems of differential and integral equations which describe real processes, solving engineering and financial problems..It shows how to develop algorithms 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..
出版日期Book 2022
关键词Computational Intelligence; Algorithms for Problems; Metaheuristic Methods; Intelligent Systems; WCO 202
版次1
doihttps://doi.org/10.1007/978-3-031-06839-3
isbn_softcover978-3-031-06841-6
isbn_ebook978-3-031-06839-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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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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