Abstract: Particle swarm optimization (PSO) motivated by the social behavior of organisms, is a step up to existing evolutionary algorithms for optimization of continuous nonlinear functions.

where the output is not from a fixed vocabulary, but a sequence of pointers to elements from the input. Main idea: Instead of producing an output token from a fixed-size vocabulary, the model points ...

This repository provides implementation for SNBO (Scalable Neural Network-based Blackbox Optimization) — a novel method for efficient blackbox optimization using neural networks. It also includes code ...

Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...

ABSTRACT: The study of the mechanical behavior of skin tissue is essential for various biomedical applications, ranging from reconstructive surgery to the design of medical devices. This work compares ...

ABSTRACT: This paper is devoted to studying the dynamic event-triggered consensus problem in distributed Echo State Networks (ESNs). The traditional ESN problem can be formulated as a set of ...