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 ...
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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 ...
Building a culture of compliance around respiratory protection no longer relies on guesswork. CleanSpace is making it ...
In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...
Abstract: This article presents a novel knowledge-based genetic algorithm (GA) to generate a collision-free path in complex environments. The proposed algorithm infuses specific domain knowledge into ...
Premenopausal women presenting with acute coronary syndrome (ACS) are a unique and often underrecognized patient population. Although they are traditionally considered at lower cardiovascular risk ...
AI will serve humanity only if we endow our creations with moral restraint rather than mathematical optimization.
The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of action, and therefore to the administered dose. In other words, there is no ...
Euan Ashley's lab explores the intricate interactions of gene variants. Tiny "typos," or genetic mutations, can sneak into segments of DNA. Many of these are harmless, but some can cause health ...