Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...
SAE Transactions, Vol. 113, Section 5: JOURNAL OF MATERIALS AND MANUFACTURING (2004), pp. 101-110 (10 pages) Modern engineering design often involves computation-intensive simulation processes and ...
Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is ...
Machine learning algorithms are gaining popularity in the hydrologic sciences. These algorithms often require tuning hyperparameters to tailor their performance to a specific purpose. Often these ...
A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...
https://doi.org/10.2307/2583200 • https://www.jstor.org/stable/2583200 Copy URL A linear programming problem is presented to solve a problem in determining how many ...
Algorithms that identify influential people in social networks can help maximize the reach of messages, but a modeling study ...
Human-centric innovations, like virtual and augmented reality (VR/AR), IoT-driven adaptive systems, and genetic algorithms ...
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