Grey wolf optimizer: a review of recent variants and applications
Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It
has been widely tailored for a wide variety of optimization problems due to its impressive …
has been widely tailored for a wide variety of optimization problems due to its impressive …
Review of economic dispatch in multi-area power system: State-of-the-art and future prospective
Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …
reliable operation multi-area power system (PS) especially in a deregulated environment …
An improved grey wolf optimizer for solving engineering problems
In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global
optimization and engineering design problems. This improvement is proposed to alleviate …
optimization and engineering design problems. This improvement is proposed to alleviate …
Dynamic economic emission dispatch considering renewable energy generation: A novel multi-objective optimization approach
ZF Liu, LL Li, YW Liu, JQ Liu, HY Li, Q Shen - Energy, 2021 - Elsevier
This study contributes to construct the mathematical model of hybrid dynamic economic
emission dispatch (HDEED) considering renewable energy generation and propose a novel …
emission dispatch (HDEED) considering renewable energy generation and propose a novel …
A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning
C Qu, W Gai, J Zhang, M Zhong - Knowledge-Based Systems, 2020 - Elsevier
Unmanned aerial vehicle (UAV) path planning problem is an important component of UAV
mission planning system, which needs to obtain optimal route in the complicated field. To …
mission planning system, which needs to obtain optimal route in the complicated field. To …
[HTML][HTML] Economic load dispatch solution of large-scale power systems using an enhanced beluga whale optimizer
The aim of the optimization economic load dispatch (ELD) problem is to assign the optimal
generated power of the thermal units for cost reduction with satisfying the loading of the …
generated power of the thermal units for cost reduction with satisfying the loading of the …
[HTML][HTML] Optimal scheduling of distributed energy resources in microgrid systems based on electricity market pricing strategies by a novel hybrid optimization …
The upsurge in microgrid demand is an important aspect of imparting energy in future
primarily because of the involvement of renewable energy sources, which alleviates the …
primarily because of the involvement of renewable energy sources, which alleviates the …
Spatial prediction of landslide susceptibility using gis-based data mining techniques of anfis with whale optimization algorithm (woa) and grey wolf optimizer (gwo)
The most dangerous landslide disasters always cause serious economic losses and human
deaths. The contribution of this work is to present an integrated landslide modelling …
deaths. The contribution of this work is to present an integrated landslide modelling …
A modified crow search algorithm (MCSA) for solving economic load dispatch problem
This paper presents a novel evolutionary optimization algorithm namely the modified crow
search algorithm (MCSA) for solving the non-convex economic load dispatch (ELD) problem …
search algorithm (MCSA) for solving the non-convex economic load dispatch (ELD) problem …
[HTML][HTML] A hybrid Harris Hawks optimizer for economic load dispatch problems
This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …