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Electric Vehicles coordination for grid balancing using multi-objective Harri...
The dataset used in this paper for EVs coordination for grid balancing using multi-objective Harris Hawks Optimization -
Monas: Multi-objective neural architecture search using reinforcement learning
The authors propose a multi-objective neural architecture search using reinforcement learning. -
Multi-objective Differentiable Neural Architecture Search
The authors propose a novel hardware-aware differentiable NAS algorithm for profiling the Pareto front in multi-objective problems. -
BI-TTP dataset
The dataset used in the paper is the BI-TTP dataset, which is a bi-objective variant of the Traveling Thief Problem. The dataset consists of 9 test instances with varying...
