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balamurugan s nature inspired algorithms applications 2022

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Textbook in PDF format The purpose of designing this book is to portray certain practical applications of nature-inspired computation in machine learning for the better understanding of the world around us. The focus is to portray and present recent developments in the areas where nature- inspired algorithms are specifically designed and applied to solve complex real-world problems in data analytics and pattern recognition, by means of domain-specific solutions. Various nature-inspired algorithms and their multidisciplinary applications (in mechanical engineering, electrical engineering, machine learning, image processing, data mining and wireless network domains are detailed, which will make this book a handy reference guide. Introduction to Nature-Inspired Computing Applications of Hybridized Algorithms and Novel Algorithms in the Field of Machine Learning Efficiency of Finding Best Solutions Through Ant Colony Optimization (ACO) Technique A Hybrid Bat-Genetic Algorithm–Based Novel Optimal Wavelet Filter for Compression of Image Data A Swarm Robot for Harvesting a Paddy Field Firefly Algorithm The Comprehensive Review for Biobased FPA Algorithm Nature-Inspired Computation in Data Mining Optimization Techniques for Removing Noise in Digital Medical Images Performance Analysis of Nature-Inspired Algorithms in Breast Cancer Diagnosis Applications of Cuckoo Search Algorithm for Optimization Problem Mapping of Real-World Problems to Nature-Inspired Algorithm Using Goal-Based Classification and TRIZ

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Balamurugan S. Nature-Inspired Algorithms and Applications 2022.pdf 14.9 MB

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balamurugan s nature inspired algorithms applications 2022