Swarm intelligence : foundation, principles, and engineering applications /
"Swarm intelligence is one of the fastest-growing sub-fields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn t...
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| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, FL ; Abingdon, Oxon :
CRC Press,
2022.
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| Edition: | First edition. |
| Series: | Mathematical engineering, manufacturing, and management sciences
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book Connect to the full text of this electronic book |
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| 100 | 1 | |a Sharma, Abhishek |c (Robotics engineer), |e author. | |
| 245 | 1 | 0 | |a Swarm intelligence : |b foundation, principles, and engineering applications / |c Abhishek Sharma, Abhinav Sharma, Jitendra Kumar Pandey, and Mangey Ram. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Boca Raton, FL ; |a Abingdon, Oxon : |b CRC Press, |c 2022. | |
| 300 | |a 1 online resource. | ||
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| 490 | 0 | |a Mathematical engineering, manufacturing, and management sciences | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "Swarm intelligence is one of the fastest-growing sub-fields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them. Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyze their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in Machine Learning. This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences"-- |c Provided by publisher. | ||
| 588 | |a Description based on print version record and CIP data provided by publisher. | ||
| 505 | 0 | |a 1. Swarm Intelligence: Review, Perspective and Challenges. 2. Theory to Practice in PSO. 3. Survey on New Swarm Intelligence Algorithms. 4. Engineering Applications of Swarm Intelligence. 5. Swarm Intelligence Applications in Machine Learning. | |
| 650 | 0 | |a Swarm intelligence. | |
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