Researchers in Sweden developed a new methodology to optimize agrivoltaic systems across Europe, showing that row pitch, system type, and panel orientation must be tailored to local climate, crops, ...
Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
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 ...
(a) Schematic illustration of the proposed signal modulation process. Left: initial input laser spot illustration before interacting with the SLM and Si metasurface. Middle: schematic of the linear ...
Abstract: Brain tumor segmentation plays a critical role in accurate diagnosis and treatment planning but remains challenging due to complex tumor boundaries and variations across MRI sequences.
Abstract: In social network analysis, the opinion maximization (OM) problem aims to locate several nodes as a seed set, which starts the information propagation and achieves the most positive opinion ...
Solving NP-Complete problems using Genetic Algorithms and Evolution Strategy for my Computational Intelligence course. In the first problem, I have solved the Steiner Tree Problem using Genetic ...
A team of researchers from Atlanta-based Georgia Institute of Technology introduced an open-source algorithm Oct. 26 that predicts a cancer drug’s effectiveness based on a patient’s genetic data. The ...
* Proposed and Implemented new methods to solve the Traveling Salesman Problem using GA. * Varied genetic parameters(Mutation ratio, crossover ratio etc..) and ...
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