In this video, I explain how computer scientists simulate evolution to train or evolve AI. Explore the fascinating intersection of natural evolution and artificial intelligence. Rob Reiner’s son Nick ...
Abstract: This study optimizes an optical phased array using a genetic algorithm. Simulations of dualgate antennas achieve phase variation from 0 to $2 \pi$ and analyze far-field intensity. We ...
Deep Reinforcement Learning Agent to control traffic light providing emergency facilitation using real-time traffic data. This project simulates and optimizes traffic flow at a four-way intersection, ...
ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...
ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...
For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...
More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...
Abstract: This article presents a novel knowledge-based genetic algorithm (GA) to generate a collision-free path in complex environments. The proposed algorithm infuses specific domain knowledge into ...
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