[HTML][HTML] Applications of artificial intelligence to photovoltaic systems: a review
HF Mateo Romero, MÁ González Rebollo… - Applied Sciences, 2022 - mdpi.com
This article analyzes the relationship between artificial intelligence (AI) and photovoltaic
(PV) systems. Solar energy is one of the most important renewable energies, and the …
(PV) systems. Solar energy is one of the most important renewable energies, and the …
A dual-time dual-population multi-objective evolutionary algorithm with application to the portfolio optimization problem
Y Song, L Han, B Zhang, W Deng - Engineering Applications of Artificial …, 2024 - Elsevier
The article proposes a dual-time dual-population multi-objective evolutionary algorithm,
DTDP-EAMO, to address the challenges faced by multi-objective differential evolution …
DTDP-EAMO, to address the challenges faced by multi-objective differential evolution …
A powerful meta-heuristic search algorithm for solving global optimization and real-world solar photovoltaic parameter estimation problems
The teaching-learning-based artificial bee colony (TLABC) is a new hybrid swarm-based
metaheuristic search algorithm. It combines the exploitation of the teaching learning-based …
metaheuristic search algorithm. It combines the exploitation of the teaching learning-based …
Qualities, challenges and future of genetic algorithms: a literature review
Genetic algorithms, computer programs that simulate natural evolution, are increasingly
applied across many disciplines. They have been used to solve various optimisation …
applied across many disciplines. They have been used to solve various optimisation …
Boosting quantum rotation gate embedded slime mould algorithm
The slime mould algorithm is an interesting swarm-based algorithm proposed in 2020 based
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …
Fractional-order artificial bee colony algorithm with application in robot path planning
Y Cui, W Hu, A Rahmani - European Journal of Operational Research, 2023 - Elsevier
Artificial bee colony (ABC) algorithm is a popular meta-heuristic optimization algorithm
inspired by the foraging behaviors of honeybees. Although ABC has outstanding exploration …
inspired by the foraging behaviors of honeybees. Although ABC has outstanding exploration …
Artificial bee colony algorithm based on adaptive neighborhood search and Gaussian perturbation
Artificial bee colony (ABC) is a type of popular swarm intelligence optimization algorithm. It is
widely concerned because of its easy implementation, few parameters and strong global …
widely concerned because of its easy implementation, few parameters and strong global …
[HTML][HTML] Metaphor-free dynamic spherical evolution for parameter estimation of photovoltaic modules
How to effectively realize the simulation, evaluation, and control of the photovoltaic (PV)
system established on the actual measured voltage and current PV cells and module data …
system established on the actual measured voltage and current PV cells and module data …
Dealing with multi-modality using synthesis of Moth-flame optimizer with sine cosine mechanisms
Evolutionary population-based methods have found their applications in dealing with many
real-world simulation experiments and mathematical modelling problems. The Moth-flame …
real-world simulation experiments and mathematical modelling problems. The Moth-flame …
An improved bat algorithm hybridized with extremal optimization and Boltzmann selection
As a meta-heuristic algorithm, bat algorithm (BA) is based on the characteristics of bat-based
echolocation and has been widely used in various aspects of optimization problems since it …
echolocation and has been widely used in various aspects of optimization problems since it …