

Nature-Inspired Computing and Optimization by Srikanta Patnaik
The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization.-
Model Selection and Error Estimation in a Nutshell
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High-Performance Computing Infrastructure for South East Europe's Research Communities
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Digging into Software Knowledge Generation in Cultural Heritage
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Resource Management in Mobile Computing Environments
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Advances in Fractional Calculus
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Smart Village Technology
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Control Strategies and Co-Design of Networked Control Systems
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Internet of Things (IoT) in 5G Mobile Technologies
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Deep Learning Classifiers with Memristive Networks
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Advanced Image and Video Processing Using MATLAB
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Modeling, Methodologies and Tools for Molecular and Nano-scale Communications
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Metaheuristics and Optimization in Civil Engineering
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Fundamentals of Bioinformatics and Computational Biology
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Modeling and Processing for Next-Generation Big-Data Technologies
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Computational Management
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A Journey from Robot to Digital Human
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Nature-Inspired Computing and Optimization |
| Author | Srikanta Patnaik |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
| Number of pages | |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
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