{"product_id":"nature-inspired-algorithms-and-applications","title":"Nature-Inspired Algorithms and Applications","description":"\u003cp\u003e\u003cb\u003eThe book’s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eInspired by the world around them, researchers are gathering information that can be developed for use in areas where certain practical applications of nature-inspired computation and machine learning can be applied. This book is designed to enhance the reader’s understanding of this process by portraying certain practical applications of nature-inspired algorithms (NIAs) specifically designed to solve complex real-world problems in data analytics and pattern recognition by means of domain-specific solutions. Since various NIAs and their multidisciplinary applications in the mechanical engineering and electrical engineering sectors; and in machine learning, image processing, data mining, and wireless networks are dealt with in detail in this book, it can act as a handy reference guide.  \u003c\/p\u003e\u003cp\u003eAmong the subjects of the 12 chapters are: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA novel method based on TRIZ to map real-world problems to nature problems\u003c\/li\u003e \u003cli\u003eApplications of cuckoo search algorithm for optimization problems\u003c\/li\u003e \u003cli\u003ePerformance analysis of nature-inspired algorithms in breast cancer diagnosis\u003c\/li\u003e \u003cli\u003eNature-inspired computation in data mining\u003c\/li\u003e \u003cli\u003eHybrid bat-genetic algorithm–based novel optimal wavelet filter for compression of image data\u003c\/li\u003e \u003cli\u003eEfficiency of finding best solutions through ant colony optimization techniques\u003c\/li\u003e \u003cli\u003eApplications of hybridized algorithms and novel algorithms in the field of machine learning.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cb\u003eAudience: \u003c\/b\u003eResearchers and graduate students in mechanical engineering, electrical engineering, machine learning, image processing, data mining, and wireless networks will find this book very useful.\u003c\/p\u003e","brand":"Seema Sharma","offers":[{"title":"Default Title","offer_id":42849545715773,"sku":"9781119681748","price":363.56,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0597\/7689\/2989\/files\/9781119681748_c7e66b6c-a10b-406c-b0a0-5ceeb471ed10.jpg?v=1767037014","url":"https:\/\/www.palmleaf.com.au\/products\/nature-inspired-algorithms-and-applications","provider":"Palmleaf","version":"1.0","type":"link"}