Computational Intelligence, Evolutionary Computing and Evolutionary Clustering Algorithms

Author(s): Terje Kristensen

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This brief text presents a general guideline for writing advanced algorithms for solving engineering and data visualization problems. The book starts with an introduction to the concept of ...
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Current and Future Developments in Artificial Intelligence

Current and Future Developments in Artificial Intelligence

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Intelligent Computational Systems presents current and future developments in intelligent computational systems in a multi-disciplinary context. Readers will learn about the pervasive and ubiquitous ...
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Multi-Objective Optimization in Theory and Practice I: Classical Methods

Multi-Objective Optimization in Theory and Practice I: Classical Methods

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Multi-Objective Optimization in Theory and Practice is a traditional two-part approach to solving multi-objective optimization (MOO) problems namely the use of classical methods and evolutionary ...
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Recent developments in information science and technology have been possible due to original and timely research contributions containing new results in various fields of applied mathematics. It is ...
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Budget Optimization and Allocation: An Evolutionary Computing Based Model is a guide for computer programmers for writing algorithms for efficient and effective budgeting. It provides a balance of ...
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Author(s): Rajesh Singh, Anita Gehlot, Bhupendra Singh and Sushabhan Choudhury

This book provides a single platform for beginners in systems engineering to start Arduino interface projects with MATLAB®. It covers the basics of the programming with Arduino and Arduino ...
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Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms

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Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems. This second part focuses on the use of metaheuristic ...
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