In this work, we introduce a novel memetic algorithm that hybridizes Particle Swarm Optimization with Simulated Annealing. This approach aims to improve the balance between exploration and ...

In [6], a multi-objective particle swarm optimization algorithm is proposed to solve the multi-objective optimization problem. Reference [7] based on the subway train, the multi-objective particle ...

a non-local mean filtered two-dimensional histogram was used to remove the noise in disease images and a new elite strategy improved comprehensive particle swarm optimization (PSO) method was used to ...

To improve the efficacy of solving the complicated multiobjective MNIFSP, a MultiDirection Update (MDU) based Multiobjective Particle Swarm Optimization (MDU-MoPSO) is proposed in this study. For the ...

Welcome to Swarms Tools, the ultimate package for integrating cutting-edge APIs into Python functions with seamless multi-agent system compatibility. Designed for enterprises at the forefront of ...

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019 ...

Scattering takes place across the universe at large and miniscule scales. Billiard balls clank off each other in bars, the ...

Sign up for CNN’s Wonder Theory science newsletter. Explore the universe with news on fascinating discoveries, scientific advancements and more. Astronomers using a ...

However, the intermittent nature of renewable energy sources poses a challenge for energy management in power distribution ...

February 19, 2025: We’ve cleaned up the list of working Bee Swarm Simulator codes. What are the active Bee Swarm Simulator codes? Whether you’re in the market for some free items to help you ...

L3Harris on Feb. 10 unveiled a system ready to enter service that allows one human operator to orchestrate a swarm of hundreds or thousands of vehicles performing a combat mission with a touch on ...