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Springer Intelligent Computational Optimization in Engineering

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Description

Computational optimization is a fundamental element across almost every branch of engineering and industry today. This volume, part of the Studies in Computational Intelligence series (366), addresses the complex challenges faced when dealing with heuristic search and optimization problems. Many engineering tasks involve discretized problems that become combinatorial in nature, creating significant hurdles for standard solution procedures. As many modern problems involve enormous search spaces or are classified as NP-hard, they require specialized heuristic solution techniques to manage effectively. This book explores these difficulties, particularly the limitations of classical solution techniques when attempting to determine appropriate optima for non-convex problems. It provides a deep look into the methods required to navigate these complex mathematical landscapes, making it a valuable resource for those working in high-level computational intelligence and engineering optimization.

Key Features

Covers heuristic search and optimization methods used across various engineering and industrial branches.

Addresses the challenges of combinatorial problems that arise when engineering tasks are discretized.

Explores solution techniques for NP-hard problems that feature enormous search spaces.

Provides insights into overcoming the limitations of classical techniques in non-convex problems.

Part of the specialized Studies in Computational Intelligence series (Volume 366) by Springer.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 July 2011
Listed Since
13 May 2011

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No barcode data available

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