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 ...

The crew of the Serenity has been assembled. With the latest Instagram post on Wednesday, Nathan Fillion has recruited Alan Tudyk for whatever mysterious Firefly announcement will be made this week.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Adobe Firefly feels like the best-kept secret in software right now. Adobe is aggressively talking up the app and its capabilities at events like Adobe MAX, but even with so much limelight, it doesn’t ...

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 ...

Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of organisms to tackle difficult and often overwhelming problems. For example, ...

The firefly algorithm is a bio-inspired metaheuristic grounded in the flashing behaviour of fireflies. In this model, candidate solutions are treated as fireflies whose brightness represents objective ...

A hybrid strategy is proposed to solve the problems of poor population diversity, insufficient convergence accuracy and susceptibility to local optimal values in the original Arctic Puffin ...

Abstract: The increase in mental health problems has prompted Machine Learning to approach efforts to accurately diagnose mental health. One technique that is frequently used in the classification ...