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Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2016 de Stefka Fidanova

Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2016: Studies in Computational Intelligence, cartea 717

Editat de Stefka Fidanova
en Limba Engleză Hardback – 7 iul 2017
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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Specificații

ISBN-13: 9783319598604
ISBN-10: 3319598600
Pagini: 226
Ilustrații: X, 235 p. 50 illus., 42 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.53 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Addresses important real-world problems, like parameter settings for controlling processes in a bioreactor and control of ethanol production Constitutes a comprehensive collection of extended contributions from the 9th International Workshop on Computational Optimization (WCO) held at Gdansk, Poland, September 11–14, 2016 Shows how to develop algorithms for real-world problems based on new metaheuristic methods Includes supplementary material: sn.pub/extras

Recenzii

“I would recommend this book both to practitioners interested in solving real-life optimization problems and to mathematicians and computer scientists developing and/or improving optimization algorithms. The plethora of application examples will help readers better understand the breadth of possible applications, teach them a few tricks that they will be able to use, and, by emphasizing remaining challenges, encourage future research.” (V. Kreinovich, Computing Reviews, November, 2016)