Asia Pacific University Library catalogue


Recent advances in computational optimization results of the workshop on “Computational Optimization” and “Numerical Search and Optimization” 2018 / [edited by] Stefka Fidanova.

Contributor(s): Fidanova, Stefka [editor.]Material type: TextTextSeries: Studies in Computational Intelligence ; 838Publication details: Switzerland : Springer Nature, c2020Description: X, 237 pages : illustration. (some colored) ; 24 cmISBN: 9783030227258 (pbk.)Subject(s): Computational Intelligence | Mathematical optimization | Engineering | Artificial intelligence | Computational Intelligence | Electronic booksLOC classification: Q342 | .R43 2020
Contents:
Preface.- Organization.- Chapter 1. Developing a Method for Measuring the Failover Times of First Hop Redundancy within Video Networks.- Chapter 2. Desktop application developed by open source tools for optimizations in cases of natural hazards and field response. Chapter 3. Data optimizations on Kresna Fire (2017) as inputs for WFA simulations.- Chpater 4. Solving Sorting of Rolling Stock Problems utilizing pseudochain structures in Graphs, etc.
Summary: This book shows how to develop algorithms for these problems, based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming, and demonstrates how real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.
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Preface.- Organization.- Chapter 1. Developing a Method for Measuring the Failover Times of First Hop Redundancy within Video Networks.- Chapter 2. Desktop application developed by open source tools for optimizations in cases of natural hazards and field response. Chapter 3. Data optimizations on Kresna Fire (2017) as inputs for WFA simulations.- Chpater 4. Solving Sorting of Rolling Stock Problems utilizing pseudochain structures in Graphs, etc.

This book shows how to develop algorithms for these problems, based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming, and demonstrates how real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.

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