Accurate electric load forecasting is critical in guaranteeing the efficiency of the load
dispatch and supply by a power system, which prevents the wasting of electricity and …

Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

Abstract Grey Wolf Optimizer (GWO) is a new nature-inspired metaheuristic algorithm based
on the leadership and social behaviour of grey wolves in nature. It has shown potential to …

Grey wolf optimizer (GWO) is a new nature-inspired algorithm that simulates the predatory
behaviors of grey wolves in nature. The GWO mainly divides the whole hunting process into …

One of methods for loss reduction and reliability improvement of radial distribution system is
using of renewable energy generation. In this paper, a new optimal placement and sizing of …

Grey wolf optimizer (GWO) algorithm is a swarm intelligence optimization technique that is
recently developed to mimic the hunting behavior and leadership hierarchy of grey wolves in …

The grey wolf optimizer (GWO) is a well-known nature-inspired algorithm, which shows a
sufficient performance for solving various optimization problems. However, it suffers from low …

The hybrid flowshop scheduling problem (HFSP) has been widely studied in the past
decades. The most commonly used criterion is production efficiency. Green criteria, such as …

In recent years, confronted with serious global warming and rapid exhaustion of non-
renewable resources, green manufacturing has become an increasingly important theme in …

Floods in urban environments often result in loss of life and destruction of property, with
many negative socio-economic effects. However, the application of most flood prediction …