{"product_id":"nature-inspired-computation-and-swarm-intelligence-algorithms-theory-and-applications-paperback-9780128197141","title":"Nature-Inspired Computation and Swarm Intelligence; Algorithms, Theory and Applications (Paperback) 9780128197141","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eNature-Inspired Computation and Swarm Intelligence\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eAlgorithms, Theory and Applications\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003e\u003cp\u003eThe reference on algorithms, theory and implementation of nature-inspired computation and swarm intelligence\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eXin-She Yang (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128197141, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 10 April 2020\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e442 pages, Approx. 150 illustrations\u003cbr\u003e23.4 x 19 x 2.8 cm, 0.92 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eNature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging.\u003c\/p\u003e  \u003cp\u003e\u003ci\u003eNature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications\u003c\/i\u003e is a timely reference giving a comprehensive review of relevant state-of-the-art developments in algorithms, theory and applications of nature-inspired algorithms and swarm intelligence. It reviews and documents the new developments, focusing on nature-inspired algorithms and their theoretical analysis, as well as providing a guide to their implementation. The book includes case studies of diverse real-world applications, balancing explanation of the theory with practical implementation.\u003c\/p\u003e  \u003cp\u003e\u003ci\u003eNature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications\u003c\/i\u003e is suitable for researchers and graduate students in computer science, engineering, data science, and management science, who want a comprehensive review of algorithms, theory and implementation within the fields of nature inspired computation and swarm intelligence.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e1. Nature-Inspired Computation and Swarm Intelligence 2. Bat Algorithm and Cuckoo Search Algorithms 3. Firefly Algorithm and Flower Pollination Algorithm 4. Bio-inspired Algorithms: Principles, Implementation and Applications to wireless communicatinon\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: Theory and Analysis\u003c\/b\u003e 5. Mathematical Foundations for Algorithm Analysis 6. Probability Theory for Analysing Nature-Inspired Algorithms 7. Theoretical Framework for Algorithm Analysis\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: Applications \u003c\/b\u003e8. Tuning Restricted Boltzmann Machines 9. Traveling Salesman Problem: Review and New Results 10. Clustering with Nature Inspired Metaheuristics 11. Bat Algorithm for Feature Selection and White Blood Cell Classification 12. Modular Granular Neural Networks Optimisation using the Firefly Algorithm applied to Time Series Prediction 13. Artificail Intelligence Methods for Music generation: A review and future perspectives 14. Optimized controller design for island microgrid employing non-dominated sorting firefly Algorithm (NSFA) 15. Swarm Robotics: A case study -- Bat robotics 16. Electrical Harmonies estimation in power systems using bat algorithm 17. CSBIIST: Cuckoo Search based intelligent Image segmentation technique 18. Improving Genetic Algorithm Solution’s Performance for Optimal Order Allocation in an E-Market with the Pareto Optimal Set  19. Multi-Robot Coordination Through Bio-Inspired Strategies 20. Optimization in Probabilistic Domains: An Engineering Approach\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Signal processing [\u003ca title=\"See our other books on Signal processing\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Signal%20processing%20%5BUYS%5D%22\"\u003eUYS\u003c\/a\u003e], Business applications [\u003ca title=\"See our other books on Business applications\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Business%20applications%20%5BUF%5D%22\"\u003eUF\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Academic Press","offers":[{"title":"Default Title","offer_id":46650157596952,"sku":"9780128197141","price":104.58,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128197141.jpg?v=1694106100","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/nature-inspired-computation-and-swarm-intelligence-algorithms-theory-and-applications-paperback-9780128197141","provider":"Freshly Printed Books","version":"1.0","type":"link"}