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Springer Metaheuristics and Optimization in Computer and Electrical Engineering Vol. 2

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Description

Metaheuristics and Optimization in Computer and Electrical Engineering: Volume 2 explores hybrid and improved algorithms for solving complex computational and electrical engineering challenges. This comprehensive volume, part of the Lecture Notes in Electrical Engineering series (number 1077), brings together advanced methodologies that combine traditional optimisation techniques with modern heuristic approaches. Ideal for researchers, engineers, and academics working in AI, machine learning, and computational problem-solving, this Springer publication provides in-depth coverage of hybrid algorithms designed to handle real-world engineering problems more effectively than conventional methods alone. The volume builds on foundational optimisation concepts whilst introducing refined approaches that improve convergence, accuracy, and computational efficiency across diverse applications in electrical systems and computer science.

Key Features

Volume 2 of the Metaheuristics and Optimization series focuses specifically on hybrid and improved algorithms for engineering applications.

Published by Springer as part of the Lecture Notes in Electrical Engineering series, number 1077, ensuring academic credibility and peer review.

Comprehensive coverage of advanced heuristic techniques combines multiple optimisation strategies to address complex computational and electrical engineering problems.

Suitable for researchers, engineers, academics and professionals working in AI, machine learning, and computational optimisation fields.

Covers practical applications of metaheuristic algorithms in real-world electrical systems and computer science contexts.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 October 2023
Listed Since
20 July 2023

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