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, ...

Abstract: A main issue in autonomous driving was robot path planning, but traditional optimization method faces the shortcoming of the complexity and dynamic in the real-world environments. Hence, ...

A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization. Using exergy analysis and particle swarm optimization, the ...

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 ...

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 ...

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 ...