Abstract The “No Free Lunch” theorem states that, averaged over all optimization problems,
without re-sampling, all optimization algorithms perform equally well. Optimization, search …

Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm
motivated by intelligent collective behavior of some animals such as flocks of birds or …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has
gained prominence in the last two decades due to its ease of application in unsupervised …

As the number of electric vehicles (EVs) increases rapidly, the problem of electric vehicle
charging has widely become a concern. Therefore, considering the fact that charging time …

The long-term goals achievement of sustainable development based on consumption of
electrical energy is possible through the use of renewable energy sources. The objectives of …

The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological
behaviour of bird flocks searching for food sources. In this nature-based algorithm …

This paper presents a comprehensive learning particle swarm optimization algorithm with
enhanced exploration and exploitation, named as “heterogeneous comprehensive learning …

The main goal for designing hybrid wind–solar generating microgrid systems is reliable
supply of load, under varying weather conditions, with the minimum cost and maximum …

In pedagogy, teachers usually separate mixed-level students into different levels, treat them
differently and teach them in accordance with their cognitive and learning abilities. Inspired …