Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Zoraptera, also known as angel insects or ground lice, are tiny termite-like insects generally found underneath bark or in ...
New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...
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Scientists translated an entire viral genome so a quantum computer could read and analyze it
Scientists have uploaded a viral genome to a quantum computer, marking an important step for the future of quantum-enabled advancements in biology.
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 ...
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 ...
In the field of evolutionary computation, it is common to compare different algorithms using a large test set, especially when the test involves function optimization [GW93]. However, the ...
It can be used in any kind of .NET 6, .NET Standard, and .NET Framework apps, like ASP .NET MVC, ASP .NET Core, Blazor, Web Forms, UWP, Windows Forms, GTK#, Xamarin ...
The research team (NEAL) from the University of South China has made significant progress in nuclear reactor radiation-shielding design. The team has developed a radiation-shielding optimization ...
Reactor radiation-shielding optimization methods are proposed by combining many-objective evolutionary algorithms with particle-transport calculation software that can optimize the reactor ...
Abstract: The genetic algorithm is one of the most commonly used metaheuristics due to its adaptability to various types of problems. However, its implementation can be challenging because of the ...
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, ...
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