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.