Nature-inspired algorithms applications / edited by S. Balamurugan [and more]. - 1 online resource. - Artificial intelligence and soft computing for industrial transformation . - Artificial intelligence and soft computing for industrial transformation. .

Includes bibliographical references and index.

Introduction to Nature-Inspired Computing / NM Saravana Kumar, K Hariprasath, N Kaviyavarshini, A Kavinya -- Applications of Hybridized Algorithms and Novel Algorithms in the Field of Machine Learning / P Mary Jeyanthi, A Mansurali -- Efficiency of Finding Best Solutions Through Ant Colony Optimization (ACO) Technique / K Sasi Kala Rani, N Pooranam -- A Hybrid Bat-Genetic Algorithm-Based Novel Optimal Wavelet Filter for Compression of Image Data / Renjith V Ravi, Kamalraj Subramaniam -- A Swarm Robot for Harvesting a Paddy Field / N Pooranam, T Vignesh -- Firefly Algorithm / Anupriya Jain, Seema Sharma, Sachin Sharma -- The Comprehensive Review for Biobased FPA Algorithm / Meenakshi Rana -- Nature-Inspired Computation in Data Mining / Aditi Sharma -- Optimization Techniques for Removing Noise in Digital Medical Images / D Devasena, M Jagadeeswari, B Sharmila, K Srinivasan -- Performance Analysis of Nature-Inspired Algorithms in Breast Cancer Diagnosis / K Hariprasath, S Tamilselvi, N M Saravana Kumar, N Kaviyavarshini, S Balamurugan -- Applications of Cuckoo Search Algorithm for Optimization Problems / Akanksha Deep, Prasant Kumar Dash -- Mapping of Real-World Problems to Nature-Inspired Algorithm Using Goal-Based Classification and TRIZ / Sukharamwala Palak, Parmar Manojkumar.

9781119681984 1119681987

10.1002/9781119681984 doi


Natural computation.
Natural computation.


Electronic books.

QA76.9.N37

006.3/8