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Springer Intelligence Systems in Environmental Management 113

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Description

Intelligence Systems in Environmental Management: Theory and Applications provides a deep dive into advanced computational methods for handling complex environmental challenges. This volume from the Intelligent Systems Reference Library serves as a vital resource for professionals and researchers who need to solve problems where traditional techniques fall short. Each chapter is contributed by leading researchers in the field, offering a wide range of both foundational and advanced concepts. Readers gain access to specialized knowledge in areas such as artificial neural networks, genetic algorithms, and agent-based modelling. The text covers diverse methodologies including particle swarm optimization, fuzzy multi-criteria decision making tools, and ant colony optimization to provide a complete toolkit for modern environmental management. By exploring methods like simulated annealing, Tabu search, and evolutionary algorithms, this book helps users navigate the difficulties of environmental modeling and decision-making. It is designed to be a comprehensive reference for those working at the intersection of computer science and environmental science.

Key Features

Comprehensive reference guide covering both basic and advanced intelligence system concepts for environmental management.

Expert insights from prominent researchers through specialized chapters on complex problem-solving techniques.

Wide range of computational tools including artificial neural networks, genetic algorithms, and evolutionary algorithms.

Advanced decision-making methods such as fuzzy multi-criteria tools and particle swarm optimization.

Detailed coverage of modeling approaches like agent-based modelling and ant colony optimization.

Practical methodologies including simulated annealing and Tabu search for handling non-traditional environmental data.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 June 2018
Listed Since
14 June 2018

Barcode

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