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Recent Advances in Computational Optimization = Results of the Workshop on Computational Optimization WCO 2021 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Recent Advances in Computational Optimization/ edited by Stefka Fidanova.
其他題名:	Results of the Workshop on Computational Optimization WCO 2021 /
其他作者:	Fidanova, Stefka.
面頁冊數:	X, 388 p. 62 illus., 39 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-031-06839-3
ISBN:	9783031068393

Recent Advances in Computational Optimization = Results of the Workshop on Computational Optimization WCO 2021 /
Recent Advances in Computational OptimizationResults of the Workshop on Computational Optimization WCO 2021 /[electronic resource] :edited by Stefka Fidanova. - 1st ed. 2022. - X, 388 p. 62 illus., 39 illus. in color.online resource. - Studies in Computational Intelligence,10441860-9503 ;. - Studies in Computational Intelligence,564.

Learning to Optimize -- Optimal seating assignment in the COVID-19 era via Quantum Computing -- Hybrid Ant Colony Optimization Algorithms – Behaviour Investigation Based on Intuitionistic Fuzzy Logic -- Scheduling algorithms for single machine problem with release and delivery times -- Key Performance Indicators to Improve e-Mail Service Quality through ITIL Framework -- Contemporary Bioprocesses Control Algorithms for Educational Purposes -- Monitoring a Fleet of Autonomous Vehicles through A* like Algorithms and Reinforcement Learning -- Rather "good in, good out" than "garbage in, garbage out": A comparison of various discrete subsampling algorithms using COVID-19 data without a response variable.

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.

ISBN: 9783031068393

Standard No.: 10.1007/978-3-031-06839-3doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Recent Advances in Computational Optimization = Results of the Workshop on Computational Optimization WCO 2021 /
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