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Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...
20–23. USA: IEEE. Guo J, Gui WH, and Yang CH (2012) An improved hybrid differential evolution algorithm used for multi-objective optimization of aluminum electrolysis. Journal of Central South ...
“We propose to employ Multi-Objective Evolutionary Algorithms (MOEAs) to solve the hardware neural network pruning problem,” shares Ke Tang, senior and corresponding author of the stud ...
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