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Springer Advances in Structural Engineering Optimization - Springer

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Description

This comprehensive resource explores cutting-edge computational applications in structural optimization, integrating metaheuristic algorithms with artificial intelligence methods for modern engineering challenges. The book addresses advanced optimization problems that traditional mathematical approaches struggle to solve, presenting modified and innovative algorithms designed for complex structural applications. Artificial intelligence and machine learning techniques are examined for their capacity to predict optimal solutions while bypassing lengthy iterative optimization processes. Ideal for researchers and engineers seeking current developments in structural optimization, this volume from Springer's Studies in Systems, Decision and Control series (326) provides practical insights into algorithm evaluation and real-world structural engineering implementations.

Key Features

Covers computational applications of optimization techniques for structural engineering problems and design challenges.

Examines metaheuristic algorithms and their effectiveness in solving advanced, non-mathematical optimization problems.

Explores artificial intelligence and machine learning methods for predicting optimum structural results efficiently.

Part of Springer's Studies in Systems, Decision and Control series (volume 326) for academic credibility.

Presents evaluation frameworks for comparing different optimization algorithms across structural applications.

Addresses current research interests in algorithm development and structural optimization methodologies.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 December 2021
Listed Since
09 November 2021

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No barcode data available

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