Applied Simulation and Optimization

In Logistics, Industrial and Aeronautical Practice

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Advanced Computing, Computer Science, Science
Cover of the book Applied Simulation and Optimization by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319150338
Publisher: Springer International Publishing Publication: April 6, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319150338
Publisher: Springer International Publishing
Publication: April 6, 2015
Imprint: Springer
Language: English

Presenting techniques, case-studies and methodologies that combine the use of simulation approaches with optimization techniques for facing problems in manufacturing, logistics, or aeronautical problems, this book provides solutions to common industrial problems in several fields, which range from manufacturing to aviation problems, where the common denominator is the combination of simulation’s flexibility with optimization techniques’ robustness.

Providing readers with a comprehensive guide to tackle similar issues in industrial environments, this text explores novel ways to face industrial problems through hybrid approaches (simulation-optimization) that benefit from the advantages of both paradigms, in order to give solutions to important problems in service industry, production processes, or supply chains, such as scheduling, routing problems and resource allocations, among others.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Presenting techniques, case-studies and methodologies that combine the use of simulation approaches with optimization techniques for facing problems in manufacturing, logistics, or aeronautical problems, this book provides solutions to common industrial problems in several fields, which range from manufacturing to aviation problems, where the common denominator is the combination of simulation’s flexibility with optimization techniques’ robustness.

Providing readers with a comprehensive guide to tackle similar issues in industrial environments, this text explores novel ways to face industrial problems through hybrid approaches (simulation-optimization) that benefit from the advantages of both paradigms, in order to give solutions to important problems in service industry, production processes, or supply chains, such as scheduling, routing problems and resource allocations, among others.

More books from Springer International Publishing

Cover of the book Mathematics Education in the Early Years by
Cover of the book Hardy Type Inequalities on Time Scales by
Cover of the book Behaviour and Ecology of Spiders by
Cover of the book Isolation and Molecular Characterization of Circulating Tumor Cells by
Cover of the book Geriatrics Models of Care by
Cover of the book Education Technology Policies in the Middle East by
Cover of the book Handbook of Palaeodemography by
Cover of the book Evaporites by
Cover of the book Multi-Agent Based Simulation XVIII by
Cover of the book Mathematical Modeling and Computational Intelligence in Engineering Applications by
Cover of the book Emotional Intelligence in Education by
Cover of the book The Colorado Mathematical Olympiad: The Third Decade and Further Explorations by
Cover of the book Clinical Research Involving Pregnant Women by
Cover of the book Transition and Lifelong Care in Congenital Urology by
Cover of the book Distributed Computer and Communication Networks by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy