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Recent Advances in Computational Optimization

Results of the Workshop on Computational Optimization WCO 2019

  • Book
  • © 2021

Overview

Editors:
  1. Stefka Fidanova

    1. Institute of Information and Communication Technology, Bulgarian Academy of Sciences, Sofia, Bulgaria

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  • Shows how to develop algorithms for real-world problems based on new metaheuristic methods
  • Addresses important real-world problems
  • Presents a comprehensive collection of extended contributions from the 12th International Workshop on Computational Optimization (WCO) held in Leipzig, Germany, September 1–4, 2019

Part of the book series: Studies in Computational Intelligence (SCI, volume 920)

Included in the following conference series:

Conference proceedings info: WCO 2019.

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About this book

This book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2019.

Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit.

Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.

This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, wildfire and flood risk modeling, workforce planning, parameter settings for controlling different processes, optimal electrical vehicle modeling, bioreactor modeling and design of VLSI.

It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics andother domains can be formulated as optimization problems.

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
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  2. Validation and Optimization of Dam Break Flood Risk Mapping Based on Field Test Cases in Armenia

    • Nina Dobrinkova, Alexander Arakelyan, Evangelos Katsaros, Sean Reynolds
    Pages 1-31

  3. Fire Simulator Capable to Analyze Fire Spread in Real Time with Limited Field Weather Data. Case Study—Kresna Fire (2017)

    • Nina Dobrinkova, Adrián Cardil
    Pages 33-48

  4. Utilizing Minimum Set-Cover Structures with Several Constraints for Knowledge Discovery on Large Literature Databases

    • Jens Dörpinghaus, Carsten Düing, Vera Weil
    Pages 49-69

  5. Evaluation of Optimal Charging Station Location for Electric Vehicles: An Italian Case-Study

    • Edoardo Fadda, Daniele Manerba, Gianpiero Cabodi, Paolo Camurati, Roberto Tadei
    Pages 71-87

  6. InterCriteria Analysis of the Evaporation Parameter Influence on Ant Colony Optimization Algorithm: A Workforce Planning Problem

    • Olympia Roeva, Stefka Fidanova, Maria Ganzha
    Pages 89-109

  7. Caterpillar Alignment Distance for Rooted Labeled Caterpillars: Distance Based on Alignments Required to Be Caterpillars

    • Yoshiyuki Ukita, Takuya Yoshino, Kouichi Hirata
    Pages 111-134

  8. ICrA Over Ordered Pairs Applied to ABC Optimization Results

    • Olympia Roeva, Dafina Zoteva
    Pages 135-148

  9. A Game Theoretical Approach for VLSI Physical Design Placement

    • Michael Rapoport, Tami Tamir
    Pages 149-172

  10. Application of Information Systems and Technologies in Transport

    • Kristina Pavlova, Vladimir Ivanov
    Pages 173-182

  11. Online Algorithms for 1-Space Bounded Cube Packing and 2-Space Bounded Hypercube Packing

    • Łukasz Zielonka
    Pages 183-197

  12. Back Matter

    Pages 199-199
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Editors and Affiliations

  • Institute of Information and Communication Technology, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Stefka Fidanova

Bibliographic Information

  • Book Title: Recent Advances in Computational Optimization

  • Book Subtitle: Results of the Workshop on Computational Optimization WCO 2019

  • Editors: Stefka Fidanova

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-58884-7

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-58883-0Published: 30 November 2020

  • Softcover ISBN: 978-3-030-58886-1Published: 30 November 2021

  • eBook ISBN: 978-3-030-58884-7Published: 30 November 2020

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 199

  • Number of Illustrations: 34 b/w illustrations, 56 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Algorithms

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