Birds flock in order to forage and move more efficiently. Fish school to avoid predators. And bees swarm to reproduce. Recent ...

Researchers have developed a maximum power point tracking algorithm based on the social hierarchy and hunting strategy of grey wolves. When tested under realistic shading conditions, the grey wolf ...

The research finds that AI is already revolutionizing energy storage at multiple levels, starting with the performance of ...

A team of researchers from the University of Professional Studies, Accra, led by Dr. Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

Discover how a groundbreaking new model is revolutionizing our understanding of GFRP bars' durability in marine environments. Learn about the innovative Weibull relaxation model that accurately ...

The Swarm Intelligence Market Is Forecasted To Reach Usd 28.6 Million In 2025, And Will Rise Further To Usd 857.3 Million By 2035 ROCKVILLE, MD, UNITED STATES, August 27, 2025 /EINPresswire.com/ -- ...

Gad, A.G. (2022) Particle Swarm Optimization Algorithm and Its Applications A Systematic Review. Archives of Computational Methods in Engineering, 29, 2531-2561.

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research.

This work proposes a multiobjective optimization framework that combines the particle swarm algorithm and the technique for order preference by similarity to the ideal solution to determine the ...

Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the literature. Although the original PSO has shown good optimization performance, it still severely ...