GitHub

Particle Swarm Optimization (PSO) for Python

pyswarm is a gradient-free, evolutionary optimization library for Python that implements Particle Swarm Optimization (PSO) with built-in support for constraints. It is lightweight, easy to use, and ...
Nature

A novel framework using particle swarm optimization and long short-term memory networks for stock market forcasting

The stock markets contribute immensely to the growth of the economy. Stock price changes do not only show how companies are performing in financial terms, but they also determine the way people invest ...
IEEE

Hybrid Numerical Methodology for Efficient Design and Optimization of Transmit-Array Antennas, X-Band Application

Abstract: This paper presents a complete hybrid numerical methodology for the efficient design and optimization of large-scale Transmit-Array (TA) antennas for modern telecommunication applications.
IEEE

An Automated Dynamic Solution Space Adaptation in Particle Swarm Optimization

Abstract: This paper presents a novel adaptive solution space methodology integrated with Particle Swarm Optimization (PSO) to dynamically adjust search boundaries in response to swarm movement within ...
C&EN

A Mixed-Integer Programming Approach to Optimal Operations of Drinking Water Treatment Plant with Verification on an Industrial Site

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...
C&EN

Exploring Metal Nanocluster Catalysts for Ammonia Synthesis Using Informatics Methods: A Concerted Effort of Bayesian Optimization, Swarm Intelligence, and First-Principles ...

Faculty of Engineering Sciences, Kyushu University, Kasuga, Fukuoka 816-8580, Japan Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) ...
Nature

Research on hybrid strategy Particle Swarm Optimization algorithm and its applications

The increasing complexity and high-dimensional nature of real-world optimization problems necessitate the development of advanced optimization algorithms. Traditional Particle Swarm Optimization (PSO) ...
LinkedIn

Swarm - Basic Graph Theory, Advanced Techniques to Understand Swarm Systems Behaviour and Performance.

Understanding concepts like computational loads, managing and optimizing drone swarm performance, swarm behavior, and related aspects (especially in defense applications) can initially seem daunting.
Scientific Research Publishing

Particle Swarm Optimization-Based Hyperparameters Tuning of Machine Learning Models for Big COVID-19 Data Analysis ()

Department of Computer Sciences, Suez Canal University, Ismailia, Egypt. Analyzing big data, especially medical data, helps to provide good health care to patients and face the risks of death. The ...
Frontiers

The energy management strategy of a loop microgrid with wind energy prediction and energy storage system day-ahead optimization

Microgrid has been extensively applied in the modern power system as a supplementary mode for the distributed energy resources. The microgrid with wind energy is usually vulnerable to the ...
Scientific Research Publishing

Multi-Strategy-Driven Salp Swarm Algorithm for Global Optimization ()

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.