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Springer Handbook of Heuristics - Optimization Algorithms Book

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Description

The Handbook of Heuristics by Springer provides a comprehensive guide to optimization and search strategies. This resource is organized into five main parts: search strategies, local search, metaheuristics, analysis and implementations, and applications. It covers a wide range of methodological aspects, including matheuristics, where mathematical programming is combined with heuristics. Designed for both researchers and practitioners, the text offers practical descriptions of relevant optimization issues across various specific application areas. Readers can explore how these methods apply to complex problems such as scheduling, vehicle routing, and network optimization. This volume serves as a detailed reference for understanding how to implement and apply heuristic methods to solve real-world computational challenges.

Key Features

This Springer publication covers five main areas: search strategies, local search, metaheuristics, analysis and implementations, and applications.

The text explores matheuristics, which involves combining mathematical programming with heuristic methods.

Practical application areas include scheduling, vehicle routing, and network optimization.

The content provides descriptions of relevant optimization issues for practitioners in specific fields.

The first edition of this Handbook of Heuristics was published in 2018.

Product Specifications

Format
hardcover
Pack Size
2 items
Domain
Amazon UK
Release Date
17 October 2025
Listed Since
24 June 2025

Barcode

No barcode data available

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