Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

To answer this, first of all, let’s establish, in information retrieval, that an entity is a uniquely identifiable “thing” that exists independently of the words used to describe it. Entity ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Optimization algorithms form the backbone of modern biological data analysis, addressing challenges posed by high-dimensional, noisy and often non-linear datasets. From selecting informative ...

Abstract: This paper proposes a modified crow search algorithm with local search and niching technique. The primitive crow search algorithm is a newly developed population-based algorithm which gained ...

Abstract: The paper provides an insight into the novel meta-heuristic of the Crow Search Algorithm (CSA) as used for continuous optimization tasks. The presented procedure is inspired by the social ...