Estimation of Distribution Algorithms (EDAs) represent a class of population-based optimisation methods that replace traditional crossover and mutation operators with explicit probability modelling.
As the sheer logistical challenge of distributing vaccines to over 300 million Americans looms large, institutions are furiously developing algorithms to assist the rollout. The promise: that ...
Abstract: Distribution network reconfiguration is the main measure of distribution network optimization, its purpose is to determine the optimal topology of distribution network, is an effective ...
Abstract: This paper proposes a novel approach for distribution network reconfiguration (DNR) using swarm intelligence (SI) algorithms enhanced with shrinking encircling behavior to address non-convex ...
Stanford created its own software system to prioritize which health care workers get the COVID-19 vaccine, but excluded residents working directly with patients. To deal with the massive logistical ...
Quantum-inspired Estimation of Distribution Algorithm (QIEDA) to solve the Traveling Salesman Problem. Presented in IEEE Congress on Evolutionary Computation ...
After reviewing initial results, we were dismayed that although vaccine coverage of communities achieved overall goals, our algorithm had not resulted in corresponding proportional vaccination of ...
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