Abstract: Conventional Ant Colony Optimization (ACO) exhibits slow convergence and high parameter sensitivity in unstructured continuous optimization. This paper proposes Gradient-Adaptive Step ACO ...

Abstract: A fast gradient-descent (FGD) method is proposed for far-field pattern synthesis of large antenna arrays. Compared with conventional gradient-descent (GD) methods for pattern synthesis where ...

In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to ...

In chapter 4.1, we evaluate the performance of the proposed optimization algorithm through a series of synthetic experiments involving objective functions with varying landscape characteristics.

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...

A team of researchers presents a novel interdisciplinary strategy to tackle the complex challenge of Scope 3 emissions within ...

Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...

Revolutionizing Market Predictions with Claude AI Trading Bot In the ever-evolving world of decentralized finance and prediction markets, one breakthrough ...