Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...
Familial hypercholesterolemia (FH) is characterized by raised serum LDL cholesterol levels, which result in excess deposition of cholesterol in tissues, leading to accelerated atherosclerosis and ...
Abstract: In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named ...
Since its molecular structure was deduced in the 1950s, DNA has been hailed by many biologists as the secret of life. They’ve read and studied the information stored in the DNA found in the cells of ...
A recent study has revealed that specific patterns of gene activity serve as a hidden map that guides the complex wiring of the entire brain. By using machine learning to analyze mouse brain data, ...
A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...
Abstract: Supervised learning problems with side information in the form of a network arise frequently in applications in genomics, proteomics and neuroscience. For example, in genetic applications, ...
This is a modern implementation of the Hybrid Genetic Search (HGS) with Advanced Diversity Control of [1], specialized to the Capacitated Vehicle Routing Problem (CVRP). This algorithm has been ...
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