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 ...
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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