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Recent advances in computational opt...

Workshop on Computational Optimization ((2021))

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Recent advances in computational optimization = results of the Workshop on Computational Optimization WCO 2021 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent advances in computational optimization/ edited by Stefka Fidanova.
Reminder of title:	results of the Workshop on Computational Optimization WCO 2021 /
remainder title:	WCO 2021
other author:	Fidanova, Stefka.
corporate name:	Workshop on Computational Optimization
Published:	Cham :Springer International Publishing : : 2022.,
Description:	x, 388 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence - Congresses. -
Online resource:	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] :WCO 2021edited by Stefka Fidanova. - Cham :Springer International Publishing :2022. - x, 388 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10441860-9503 ;. - Studies in computational intelligence ;v. 1044..

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:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342 / .W67 2021

Dewey Class. No.: 006.3

Recent advances in computational optimization = results of the Workshop on Computational Optimization WCO 2021 /
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505 0 $a 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.
520 $a 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.
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