Titlebook: Optimization in Machine Learning and Applications; Anand J. Kulkarni,Suresh Chandra Satapathy Book 2020 Springer Nature Singapore Pte Ltd.

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Meeta Kumar,Anand J. Kulkarni,Suresh Chandra Satapathy

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A Survey on the Latest Development of Machine Learning in Genetic Algorithm and Particle Swarm Optimization techniques has received a great attention among researchers to solve real-world problems. The ML techniques are combined with nature-inspired optimization techniques to optimize the solution to solve any problem. In this chapter, work related to two well-known nature-inspired optimization a

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A Hybridized Data Clustering for Breast Cancer Prognosis and Risk Exposure Using Fuzzy C-means and the cohort intelligence (CI) algorithm to optimize cluster formation. CI is a robust optimization metaheuristic belonging to the class of socio-inspired optimizers (Kumar M, Kulkarni A Socio-cultural inspired metaheuristics, pp 1–28, Springer International Publishing, 2019 [.]), motivated from self

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Roulette Wheel Selection-Based Computational Intelligence Technique to Design an Efficient Transmisce of policies designed based on different computational intelligence techniques is evaluated and compared by considering outage or packet drop probability as the performance metric. In this paper, we are proposing a new intuitive but effective computational technique that uses roulette wheel (RW) s