Recent Advances in Computational Optimization
Editat de Stefka Fidanovaen Limba Engleză Hardback – 26 iul 2016
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (8) | 618.56 lei 6-8 săpt. | |
| Springer – 24 iun 2015 | 618.56 lei 6-8 săpt. | |
| Springer – feb 2019 | 621.22 lei 6-8 săpt. | |
| Springer – 14 aug 2020 | 621.22 lei 6-8 săpt. | |
| Springer – 2 aug 2018 | 621.22 lei 6-8 săpt. | |
| Springer – 31 mai 2018 | 624.73 lei 6-8 săpt. | |
| Springer – 30 noi 2021 | 638.42 lei 38-44 zile | |
| Springer – 18 sep 2023 | 958.16 lei 6-8 săpt. | |
| Springer – 16 dec 2022 | 1128.06 lei 6-8 săpt. | |
| Hardback (12) | 624.14 lei 6-8 săpt. | |
| Springer – 31 mai 2013 | 624.14 lei 6-8 săpt. | |
| Springer – 11 dec 2014 | 624.55 lei 6-8 săpt. | |
| Springer – 30 noi 2020 | 624.97 lei 6-8 săpt. | |
| Springer – 27 sep 2018 | 626.81 lei 6-8 săpt. | |
| Springer – 7 iul 2017 | 626.81 lei 6-8 săpt. | |
| Springer – 23 iul 2015 | 627.22 lei 6-8 săpt. | |
| Springer – 26 iul 2016 | 630.30 lei 6-8 săpt. | |
| Springer – 4 iul 2019 | 791.39 lei 6-8 săpt. | |
| Springer – 17 sep 2022 | 963.77 lei 6-8 săpt. | |
| Springer – 9 apr 2024 | 1124.63 lei 3-5 săpt. | |
| Springer – 15 dec 2021 | 1133.68 lei 6-8 săpt. | |
| Springer – 4 mar 2025 | 1137.16 lei 38-44 zile |
Preț: 630.30 lei
Preț vechi: 787.88 lei
-20%
Puncte Express: 945
Preț estimativ în valută:
111.37€ • 128.38$ • 97.23£
111.37€ • 128.38$ • 97.23£
Carte tipărită la comandă
Livrare economică 16-30 mai
Specificații
ISBN-13: 9783319401317
ISBN-10: 3319401319
Pagini: 316
Ilustrații: X, 303 p. 102 illus., 55 illus. in color.
Dimensiuni: 160 x 241 x 23 mm
Greutate: 0.64 kg
Ediția:1st edition 2016
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319401319
Pagini: 316
Ilustrații: X, 303 p. 102 illus., 55 illus. in color.
Dimensiuni: 160 x 241 x 23 mm
Greutate: 0.64 kg
Ediția:1st edition 2016
Editura: Springer
Locul publicării:Cham, Switzerland
Cuprins
Fast Output-Sensitive Approach for Minimum Convex Hulls Formation.- Local Search Algorithms for Portfolio Selection: Search Space and Correlation Analysis.- Optimization of Fuel Consumption in Firefighting Water Capsule Flights of a Helicopter.- Practical Application of OFN arithmetics in a Crisis Control Center Monitoring.- Forecasting Indoor Temperature Using Fuzzy Cognitive Maps with Structure Optimization Genetic Algorithm.- Correlation Clustering by Contraction, a More Effective Method.- Synthesis of Power Aware Adaptive Embedded Software Using Developmental Genetic Programming.- Flow Design and Evaluation in Photonic Data Transport Network.- Introducing the Environment in Ant Colony Optimization.- Fast Preconditioned Solver for Truncated Saddle Point Problem in Nonsmooth Cahn-Hilliard Model.- The Constraints Aggregation Technique for Control of Ethanol Production.- InterCriteria Analysis by Pairs and Triples of Genetic Algorithms Application for Models Identification.- GeneticAlgorithms for Constrained Tree Problems.- InterCriteria Analysis of Genetic Algorithms Performance.- Exploring Sparse Covariance Estimation Techniques in Evolution Strategies.- Parallel Metaheuristics for Robust Graph Coloring Problem.
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)
Textul de pe ultima copertă
This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2015. It presents recent advances in computational optimization. The volume includes important real life problems like parameter settings for controlling processes in bioreactor, control of ethanol production, minimal convex hill with application in routing algorithms, graph coloring, flow design in photonic data transport system, predicting indoor temperature, crisis control center monitoring, fuel consumption of helicopters, portfolio selection, GPS surveying and so on. It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics, medicine and other domains can be formulated as optimization problems.
Caracteristici
Presents recent advances in computational optimization Includes important real problems like parameter settings for controlling processes in bioreactor, control of ethanol production, minimal convex hill with application in routing algorithms, graph coloring, flow design in photonic data transport system, predicting indoor temperature, crisis control center monitoring, fuel consumption of helicopters, portfolio selection, GPS surveying and so on Constitutes a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2015 held in Lodz, Poland, 13-16. September 2015 Shows how to develop algorithms for real-life problems based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others Includes supplementary material: sn.pub/extras