MOSOA: A new multi-objective seagull optimization algorithm

G Dhiman, KK Singh, M Soni, A Nagar… - Expert Systems with …, 2021 - Elsevier
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 …

Multi-objective grey wolf optimizer: a novel algorithm for multi-criterion optimization

S Mirjalili, S Saremi, SM Mirjalili, LS Coelho - Expert systems with …, 2016 - Elsevier
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 …

EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization

G Dhiman, KK Singh, A Slowik, V Chang… - International Journal of …, 2021 - Springer
This study introduces the evolutionary multi-objective version of seagull optimization
algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm …

Multi-objective spotted hyena optimizer: a multi-objective optimization algorithm for engineering problems

G Dhiman, V Kumar - Knowledge-Based Systems, 2018 - Elsevier
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 …

A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm

J Wang, W Yang, P Du, T Niu - Energy Conversion and Management, 2018 - Elsevier
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 …

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 …

MOGOA algorithm for constrained and unconstrained multi-objective optimization problems

A Tharwat, EH Houssein, MM Ahmed, AE Hassanien… - Applied …, 2018 - Springer
Abstract Grasshopper Optimization Algorithm (GOA) was modified in this paper, to optimize
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 …

A novel ensemble model of different mother wavelets for wind speed multi-step forecasting

H Liu, Z Duan, Y Li, H Lu - Applied Energy, 2018 - Elsevier
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 …

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 …