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This paper introduces EvoK-Means, a Differential Evolution-optimized K-Means algorithm for improved clustering of electricity consumption data. Traditional methods like K-Means and DBSCAN often ...
To address the flexible assembly job shop scheduling problem, an improved differential evolution algorithm based on Q-Learning is proposed to optimize the makespan, the average product completion time ...
M. Janga Reddy, D. Nagesh Kumar, Computational algorithms inspired by biological processes and evolution, Current Science, Vol. 103, No. 4 (25 August 2012), pp. 370-380 ...
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