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Springer Structural Optimization - Shuffled Shepherd Algorithm

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Description

Explore advanced computational methods with Structural Optimization Using Shuffled Shepherd Meta-Heuristic Algorithm: Extensions and Applications. Published by Springer as part of the Studies in Systems, Decision and Control series (Volume 463), this academic work provides a deep look into meta-heuristic algorithms and their practical uses in structural design. This text is designed for researchers and professionals in the fields of computer science, AI, and machine learning. It examines the Shuffled Shepherd algorithm and its various extensions to solve complex optimization problems. By focusing on systemic decision-making and control, this volume serves as a technical resource for those studying modern computational intelligence and its application to structural engineering challenges.

Key Features

Part of the Springer Studies in Systems, Decision and Control series, volume 463.

Focuses on the Shuffled Shepherd Meta-Heuristic Algorithm and its specific extensions.

Covers diverse applications within the realms of structural optimization and system control.

Provides technical insights relevant to AI, machine learning, and computer science research.

Serves as a specialized resource for academic study and professional engineering development.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 March 2024
Listed Since
05 February 2024

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