MOSOA: A new multi-objective seagull optimization algorithm
This study introduces the extension of currently developed Seagull Optimization Algorithm
(SOA) in terms of multi-objective problems, which is entitled as Multi-objective Seagull …
(SOA) in terms of multi-objective problems, which is entitled as Multi-objective Seagull …
Multi-objective grey wolf optimizer: a novel algorithm for multi-criterion optimization
Due to the novelty of the Grey Wolf Optimizer (GWO), there is no study in the literature to
design a multi-objective version of this algorithm. This paper proposes a Multi-Objective …
design a multi-objective version of this algorithm. This paper proposes a Multi-Objective …
EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization
This study introduces the evolutionary multi-objective version of seagull optimization
algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm …
algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm …
Multi-objective spotted hyena optimizer: a multi-objective optimization algorithm for engineering problems
This paper proposes a multi-objective version of recently developed Spotted Hyena
Optimizer (SHO) called Multi-objective Spotted Hyena Optimizer (MOSHO). It is used to …
Optimizer (SHO) called Multi-objective Spotted Hyena Optimizer (MOSHO). It is used to …
A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm
Wind speed forecasting plays a crucial role in power system operations, power grid security
management, and in the electricity market. This is of great significance for society and is still …
management, and in the electricity market. This is of great significance for society and is still …
A novel whale optimization algorithm integrated with Nelder–Mead simplex for multi-objective optimization problems
M Abdel-Basset, R Mohamed, S Mirjalili - Knowledge-Based Systems, 2021 - Elsevier
Recently, several meta-heuristics and evolutionary algorithms have been proposed for
tackling optimization problems. Such methods tend to suffer from degraded performance …
tackling optimization problems. Such methods tend to suffer from degraded performance …
MOGOA algorithm for constrained and unconstrained multi-objective optimization problems
Abstract Grasshopper Optimization Algorithm (GOA) was modified in this paper, to optimize
multi-objective problems, and the modified version is called Multi-Objective Grasshopper …
multi-objective problems, and the modified version is called Multi-Objective Grasshopper …
The study and application of a novel hybrid system for air quality early-warning
Y Hao, C Tian - Applied Soft Computing, 2019 - Elsevier
Air quality early-warning plays a vital role in improving air quality and human health,
especially multi-step ahead air quality early-warning, which is significant for both citizens …
especially multi-step ahead air quality early-warning, which is significant for both citizens …
A novel ensemble model of different mother wavelets for wind speed multi-step forecasting
Accurate wind speed forecasting is essential for smart wind power conversion and
integration. In the study, a novel ensemble model, using four novel hybrid models as base …
integration. In the study, a novel ensemble model, using four novel hybrid models as base …
Multi-objective optimisation of horizontal axis wind turbine structure and energy production using aerofoil and blade properties as design variables
GR Fischer, T Kipouros, AM Savill - Renewable Energy, 2014 - Elsevier
The design of wind turbine blades is a true multi-objective engineering task. The
aerodynamic effectiveness of the turbine needs to be balanced with the system loads …
aerodynamic effectiveness of the turbine needs to be balanced with the system loads …