£113.25

Springer Handbook of Nature-Inspired Optimization Algorithms Vol II

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Description

Expand your technical library with the Handbook of Nature-Inspired Optimization Algorithms: The State of the Art: Volume II. Published by Springer, this specialized text focuses on solving constrained single objective real-parameter optimization problems. As part of the Systems, Decision and Control series (Volume 213), it provides a deep look into advanced computational methods used in modern engineering and science. This volume is designed for professionals and researchers working within the fields of computer science, artificial intelligence, and machine learning. By focusing on nature-inspired methodologies, the text addresses complex optimization challenges that are central to decision-making and control systems. It serves as a comprehensive resource for those seeking to understand the current state of the art in algorithmic development and application.

Key Features

Focuses on constrained single objective real-parameter optimization to help solve complex mathematical problems.

Part of the recognized Systems, Decision and Control series, providing academic and professional depth.

Covers state of the art nature-inspired algorithms used in modern computing and artificial intelligence.

Published by Springer, ensuring high standards of technical accuracy and research quality.

Ideal for advanced study in computer science, machine learning, and algorithmic optimization.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 September 2023
Listed Since
09 August 2023

Barcode

No barcode data available

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