Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2015

Author:   Stefka Fidanova
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   655
ISBN:  

9783319401317


Pages:   303
Publication Date:   26 July 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2015


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Author:   Stefka Fidanova
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   655
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   5.974kg
ISBN:  

9783319401317


ISBN 10:   3319401319
Pages:   303
Publication Date:   26 July 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

Reviews

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)


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