A comprehensive survey on NSGA-II for multi-objective optimization and applications
H Ma, Y Zhang, S Sun, T Liu, Y Shan - Artificial Intelligence Review, 2023 - Springer
In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …
II) has attracted extensive research interests, and it is still one of the hottest research …
CFD analysis and optimum design for a centrifugal pump using an effectively artificial intelligent algorithm
CN Wang, FC Yang, VTT Nguyen, NTM Vo - Micromachines, 2022 - mdpi.com
In this study, we proposed a novel approach to improve centrifugal pump performance with
regard to the pump head, pump efficiency, and power. Firstly, to establish constraints, an …
regard to the pump head, pump efficiency, and power. Firstly, to establish constraints, an …
[HTML][HTML] Research progress of advanced design method, numerical simulation, and experimental technology of pumps in deep-sea resource exploitation
L Ji, X He, W Li, F Tian, W Shi, L Zhou, Z Liu, Y Yang… - Water, 2024 - mdpi.com
Amid the escalating global demand for raw materials, the gradual exhaustion of terrestrial
mineral resources, and the rise in extraction costs and energy consumption, the …
mineral resources, and the rise in extraction costs and energy consumption, the …
A new metaheuristic for optimization: optics inspired optimization (OIO)
AH Kashan - Computers & Operations Research, 2015 - Elsevier
Due to the law of reflection, a concave reflecting surface/mirror causes the incident light rays
to converge and a convex surface/mirror causes the light rays to reflect away so that they all …
to converge and a convex surface/mirror causes the light rays to reflect away so that they all …
SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting
GN Kouziokas - Applied Soft Computing, 2020 - Elsevier
Abstract The application of Artificial Intelligence (AI) has been upgraded in many scientific
fields the last years, with the development of new artificial intelligence-based technologies …
fields the last years, with the development of new artificial intelligence-based technologies …
Multi-objective optimization-based updating of predictions during excavation
In this paper, an efficient multi-objective optimization (MOOP)-based updating framework is
established, which involves (1) the development of an enhanced multi-objective differential …
established, which involves (1) the development of an enhanced multi-objective differential …
Numerical shape optimization of a centrifugal pump impeller using artificial bee colony algorithm
Centrifugal pumps consume huge amounts of energy in various industrial applications.
Therefore for these pumps, the improvement of machine efficiency has become a major …
Therefore for these pumps, the improvement of machine efficiency has become a major …
Pareto optimal weighting factor design of predictive current controller of a six-phase induction machine based on particle swarm optimization algorithm
Finite-set model predictive control (FS-MPC) as predictive current control (PCC) is
considered an exciting option for the stator current control of multiphase machines due to …
considered an exciting option for the stator current control of multiphase machines due to …
A multi-objective worker selection scheme in crowdsourced platforms using NSGA-II
Crowdsourcing has led to a paradigm shift in how commercial houses execute projects by
lowering the production cost. A crucial aspect of crowdsourcing is selecting the best set of …
lowering the production cost. A crucial aspect of crowdsourcing is selecting the best set of …
A new W-SVM kernel combining PSO-neural network transformed vector and Bayesian optimized SVM in GDP forecasting
GN Kouziokas - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
Considering that in the literature there is a very limited number of studies proposing new
SVM kernels especially in regression problems, the scope of this research is to investigate …
SVM kernels especially in regression problems, the scope of this research is to investigate …