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Springer Frontiers in Nature-Inspired Industrial Optimization

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Description

Frontiers in Nature-Inspired Industrial Optimization by Springer offers a comprehensive collection of recent applications regarding nature-inspired optimization within industrial fields. This volume explores how various optimization techniques are deployed to analyze and solve complex problems effectively. Researchers contribute to three primary objectives: improving the accuracy of these techniques, achieving higher speeds with lower computational complexity, and developing new applications. This book serves as a valuable resource for active researchers and practitioners working in AI, machine learning, and computer science.

Key Features

This Springer publication provides a collection of recent applications for nature-inspired optimization in industrial fields.

The text analyzes different optimization techniques and how they are effectively deployed to solve specific problems.

Research contributions focus on improving the accuracy of optimization techniques for better results.

The content addresses achieving higher speeds and lower computational complexity in optimization processes.

This book is designed to be a helpful resource for active researchers and practitioners in the field.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 August 2022
Listed Since
13 July 2022

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