Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...
Abstract: Evolutionary reinforcement learning (ERL), which integrates the evolutionary algorithms (EAs) and reinforcement learning (RL) for optimization, has demonstrated remarkable performance ...
Abstract: The Flexible Job Shop Scheduling Problem (FJSP), a classical NP-hard problem, requires the solution of two aspects of the complex problem, the first is to assign each operation to an ...
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