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Springer Metaheuristics for Scheduling in Industrial Apps

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Description

Explore the complexities of optimization with Metaheuristics for Scheduling in Industrial and Manufacturing Applications. Published by Springer as part of the Studies in Computational Intelligence series (volume 128), this book addresses one of the most studied optimization problems in modern science and engineering. Scheduling is a vital area of research that takes different forms based on the specific restrictions and optimization criteria of various operating environments. This text examines scheduling through the lens of both computer science and production. In the context of optimization, it focuses on the efficient allocation of tasks to resources over time to achieve specific objectives. In production environments, it covers the essential planning of production schedules. This resource is designed for those studying the mathematical and practical applications of scheduling within industrial and manufacturing sectors.

Key Features

Published by Springer as part of the Studies in Computational Intelligence series, volume 128.

Covers scheduling as a fundamental optimization problem used in science, engineering, and industry.

Explores the allocation of tasks to resources over time to reach optimal objective criteria.

Addresses production scheduling and the planning requirements of manufacturing environments.

Examines how different operating environments change the form of scheduling restrictions.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 June 2008
Listed Since
12 March 2008

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