An optimized genetic algorithm engine for solving large-scale Travelling Salesman Problem instances with custom mutation, crossover, and hyper-parameter tuning.
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 ...
Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...
Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...
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, ...
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 ...
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: The Traveling Salesman Problem (TSP), a classic combinatorial optimization problem, has been extensively studied for many years. Recently, the Multi-solution Traveling Salesman Problem ...
College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. Since time immemorial, achieving high performance, structural lightweight, and cost-effectiveness of aircraft has been a ...
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