Abstract: Particle swarm optimization (PSO), as a novel computational intelligence technique, has succeeded in many continuous problems. But in discrete or binary version there are still some ...

Abstract: The Binary Particle Swarm Optimization (BPSO) is the most popular swarm-based algorithm to tackle binary optimization problems. Based on the high performance of the BPSO, many proposals have ...

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 ...

Particle swarm optimization isn't usually seen as the first-choice technique for training a neural network but, as James McCaffrey demonstrates, it's a useful alternative. Particle swarm optimization ...

Background: Accurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking. Objective: This study proposes a ...

A Python implementation of both Standard Particle Swarm Optimization (PSO) and Quantum-inspired Particle Swarm Optimization (QPSO), with visualization tools and performance comparison capabilities.

School of Mechanical Engineering, Shandong Huayu University of Technology, Dezhou, China Introduction: Regenerative braking control technology has been widely implemented in electric vehicles (EVs) to ...