Abstract: Particle swarm optimization (PSO) is an evolutionary computation technique based on the social behaviour of flocking bird. The PSO method was first proposed by Kennedy and Eberhart in 1995, ...

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling ...

Drawn by local talent, cheap labor and state cash incentives, start-ups building the weapons of the future are revitalizing manufacturing in once-vibrant industrial towns. A worker inspecting a drone ...

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 ...

ABSTRACT: Accurate precipitation forecasting is crucial for mitigating the impacts of extreme weather events and enhancing disaster preparedness. This study evaluates the performance of Long ...

1 Research Department of State Grid Zhejiang Electric Power Research Institute, Hangzhou, China 2 Research Department of State Grad Aksu Electric Power Supply Company, Aksu, China To address the ...

Abstract: Aiming at the weaknesses of Particle Swarm Optimization algorithm (PSO) such as the easiness to get trapped into local optimal, slow convergence speed, and low precision, an improved PSO ...

This repository contains the code for Assignment 1 of the AER1415 course. This code implements the Particle Swarm Optimization algorithm and is tested on multiple case studies. The hyperparameters are ...