Abstract: Automated design of metaheuristic algorithms offers an attractive avenue to reduce human effort and gain enhanced performance beyond human intuition. Current automated methods design ...

Abstract: Metaheuristic algorithms (MHAs) occupy considerable attention among researchers because of their high performance and robustness in optimizing several engineering problems. Random walk (RW) ...

Various supervised learning algorithms, including the novel ANN-PSO hybrid model, were applied following comprehensive data preprocessing and evaluation. Results: The proposed ANN-PSO model achieved a ...

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[2] Nature-inspired algorithms from oceans to space: a comprehensive review of heuristic and meta-heuristic optimization algorithms and their potential applications in … ...

According to Huang, a powerful AI supercomputer would revolutionize science and engineering by enabling the creation of novel algorithms that would increase American competitiveness abroad.

She is a FINRA Series 7, 63, and 66 license holder. BalanceFormcreative / Getty Images The Luhn algorithm—also known as the “Modulus 10 algorithm”—is a formula that is used to determine ...

Even if your network knowledge runs deep there’s a high chance you haven’t heard of Nagle’s Algorithm. Named after its creator, John Nagle, this algorithm plays a part in the efficient ...

But Solomonoff formulated his first ideas in 1942—long before AI algorithms existed. Solomonoff’s approach was based on the principle of Occam’s razor, according to which the simplest ...

The expectation maximization algorithm enables parameter estimation in probabilistic models with incomplete data. In summary, the expectation maximization algorithm alternates between the steps of ...

This repository contains JavaScript based examples of many popular algorithms and data structures. Each algorithm and data structure has its own separate README with related explanations and links for ...