Abstract: Genetic algorithms are practical tools for solving complex optimization problems; however, the performance of many existing solutions is often limited by their inability to utilize modern ...
As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...
Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China Department of Computer Science, Abdul Wali Khan University Mardan, ...
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 ...
Community driven content discussing all aspects of software development from DevOps to design patterns. One of the Java platform’s enduring strengths has always been its ecosystem. Since the early ...
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, ...
Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...
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