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Differential Evolution: A review of more than two decades of research
M Pant, H Zaheer, L Garcia-Hernandez… - … Applications of Artificial …, 2020 - Elsevier
Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …
frequently used algorithms for solving complex optimization problems. Its flexibility and …
A comprehensive review of swarm optimization algorithms
MN Ab Wahab, S Nefti-Meziani, A Atyabi - PloS one, 2015 - journals.plos.org
Many swarm optimization algorithms have been introduced since the early 60's,
Evolutionary Programming to the most recent, Grey Wolf Optimization. All of these algorithms …
Evolutionary Programming to the most recent, Grey Wolf Optimization. All of these algorithms …
A sinusoidal differential evolution algorithm for numerical optimisation
A Draa, S Bouzoubia, I Boukhalfa - Applied Soft Computing, 2015 - Elsevier
This paper presents a new variant of the Differential Evolution (DE) algorithm called
Sinusoidal Differential Evolution (SinDE). The key idea of the proposed SinDE is the use of …
Sinusoidal Differential Evolution (SinDE). The key idea of the proposed SinDE is the use of …
A self-adaptive population Rao algorithm for optimization of selected bio-energy systems
RV Rao, HS Keesari - Journal of Computational Design and …, 2021 - academic.oup.com
This work proposes a metaphor-less and algorithm-specific parameter-less algorithm,
named as self-adaptive population Rao algorithm, for solving the single-, multi-, and many …
named as self-adaptive population Rao algorithm, for solving the single-, multi-, and many …
Termite alate optimization algorithm: a swarm-based nature inspired algorithm for optimization problems
A Majumder - Evolutionary Intelligence, 2023 - Springer
Swarm based algorithms play a very important role in solving optimization problems as
these algorithms perform better than the traditional techniques. Various such swarm-based …
these algorithms perform better than the traditional techniques. Various such swarm-based …
Integration of a parabolic trough solar collector with an energy-intensive multi-effect evaporator: A move towards industrial decarbonization
The current study analyzes the potential of an environmentally benign integration of a
parabolic trough solar collector (PTSC) with a heat-intensive multi-effect evaporator (MEE) …
parabolic trough solar collector (PTSC) with a heat-intensive multi-effect evaporator (MEE) …
Dynamic modeling and controller design for a parabolic trough solar collector
A Goel, R Mahadeva, SP Patole, G Manik - IEEE Access, 2023 - ieeexplore.ieee.org
The current study unveils an analytical dynamic model of a parabolic trough solar collector
(PTSC) and subsequently presents the process to derive the transfer function of the PTSC …
(PTSC) and subsequently presents the process to derive the transfer function of the PTSC …
[HTML][HTML] A hybrid artificial intelligence model to predict the elastic behavior of sandstone rocks
A Gowida, T Moussa, S Elkatatny, A Ali - Sustainability, 2019 - mdpi.com
Rock mechanical properties play a key role in the optimization process of engineering
practices in the oil and gas industry so that better field development decisions can be made …
practices in the oil and gas industry so that better field development decisions can be made …
Novel gamma differential evolution approach for multiobjective transformer design optimization
L dos Santos Coelho, VC Mariani… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
The differential evolution (DE) algorithm is a simple but powerful population-based
stochastic search technique for solving global optimization problems. DE consists of three …
stochastic search technique for solving global optimization problems. DE consists of three …
[HTML][HTML] An Analysis of Differential Evolution Population Size
A Saad, AP Engelbrecht, SA Khan - Applied Sciences, 2024 - mdpi.com
The performance of the differential evolution algorithm (DE) is known to be highly sensitive
to the values assigned to its control parameters. While numerous studies of the DE control …
to the values assigned to its control parameters. While numerous studies of the DE control …