BLANC
发表于 2025-3-23 11:13:55
Meeta Kumar,Anand J. Kulkarni,Suresh Chandra Satapathy
Mingle
发表于 2025-3-23 14:39:29
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吝啬性
发表于 2025-3-23 21:55:48
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印第安人
发表于 2025-3-24 00:17:37
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indigenous
发表于 2025-3-24 06:10:40
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Fibroid
发表于 2025-3-24 06:59:30
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
看法等
发表于 2025-3-24 14:28:03
A Hybridized Data Clustering for Breast Cancer Prognosis and Risk Exposure Using Fuzzy C-means andthe 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
健谈的人
发表于 2025-3-24 16:48:06
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Maximize
发表于 2025-3-24 19:46:46
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装入胶囊
发表于 2025-3-25 00:09:41
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