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Recent advances in computational opt...
~
(1998 :)
Recent advances in computational optimizationresults of the Workshop on Computational Optimization WCO 2016 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Recent advances in computational optimizationedited by Stefka Fidanova.
Reminder of title:
results of the Workshop on Computational Optimization WCO 2016 /
other author:
Fidanova, Stefka.
corporate name:
Published:
Cham :Springer International Publishing :2018.
Description:
x, 235 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Combinatorial optimizationCongresses.
Online resource:
http://dx.doi.org/10.1007/978-3-319-59861-1
ISBN:
9783319598611$q(electronic bk.)
Recent advances in computational optimizationresults of the Workshop on Computational Optimization WCO 2016 /
Recent advances in computational optimization
results of the Workshop on Computational Optimization WCO 2016 /[electronic resource] :edited by Stefka Fidanova. - Cham :Springer International Publishing :2018. - x, 235 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7171860-949X ;. - Studies in computational intelligence ;v. 216..
Sequential Predictive Scheduling in Partitioned Data Domains -- Wildfire Optimizations in Modeling and Calibrations for Bulgarian Test Cases -- Process Control with the Variability Constraints -- Comparison of Different ACO Start Strategies Based on InterCriteria Analysis -- Evolutionary Approach for Tuning of Longwall Scraper Conveyor Model -- Solving Graph Partitioning Problems with Parallel Metaheuristics -- Comparison of Selected Fuzzy PSO Algorithms.
This book presents new optimization approaches and methods and their application in real-world and industrial problems, and demonstrates how many of the problems arising in engineering, economics and other domains can be formulated as optimization problems. Constituting a comprehensive collection of extended contributions from the 9th International Workshop on Computational Optimization (WCO) held in Gdansk, Poland, September 11-14, 2016, the book discusses important applications such as job scheduling, wildfire modeling, parameter settings for controlling different processes, capital budgeting, data mining, finding the location of sensors in a given network, identifying the conformation of molecules, algorithm correctness, decision support system, and computer memory management. Further, it shows how to develop algorithms for these based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming. The book is a valuable resource for researchers and practitioners alike.
ISBN: 9783319598611$q(electronic bk.)
Standard No.: 10.1007/978-3-319-59861-1doiSubjects--Topical Terms:
441127
Combinatorial optimization
--Congresses.
LC Class. No.: QA402.5
Dewey Class. No.: 519.64
Recent advances in computational optimizationresults of the Workshop on Computational Optimization WCO 2016 /
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Sequential Predictive Scheduling in Partitioned Data Domains -- Wildfire Optimizations in Modeling and Calibrations for Bulgarian Test Cases -- Process Control with the Variability Constraints -- Comparison of Different ACO Start Strategies Based on InterCriteria Analysis -- Evolutionary Approach for Tuning of Longwall Scraper Conveyor Model -- Solving Graph Partitioning Problems with Parallel Metaheuristics -- Comparison of Selected Fuzzy PSO Algorithms.
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This book presents new optimization approaches and methods and their application in real-world and industrial problems, and demonstrates how many of the problems arising in engineering, economics and other domains can be formulated as optimization problems. Constituting a comprehensive collection of extended contributions from the 9th International Workshop on Computational Optimization (WCO) held in Gdansk, Poland, September 11-14, 2016, the book discusses important applications such as job scheduling, wildfire modeling, parameter settings for controlling different processes, capital budgeting, data mining, finding the location of sensors in a given network, identifying the conformation of molecules, algorithm correctness, decision support system, and computer memory management. Further, it shows how to develop algorithms for these based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming. The book is a valuable resource for researchers and practitioners alike.
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EB QA402.5 .W926 2016 2018
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http://dx.doi.org/10.1007/978-3-319-59861-1
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