Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …

Abstract Development of efficient multi-objective evolutionary algorithms (MOEAs) has
provided effective tools to solve environmental/economic dispatch (EED) problems. EED is a …

The data-driven modern era has enabled the collection of large amounts of biomedical and
clinical data. DNA microarray gene expression datasets have mainly gained significant …

The implementation of emergency scheduling of priority-based rescue vehicles for
extinguishing forest fires is a complex optimization problem facing with many challenges …

Economic-environmental power dispatch is one of the most popular bi-objective non-linear
optimization problems in power system. Classical economic power dispatch problem is …

Due to environmental concerns and ever-increasing fuel costs, governments offer incentives
for clean and sustainable energy production from Distributed Generations (DGs) such as …

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 …

Power generated in generating station is transmitted through transmission lines and fed to
the consumers through distribution substation. The power distributed into the network has …

As a practical choice to deal with energy security and low-carbon development, the
microgrid can effectively promote the consumption of renewable energy. However, the …

Due to its significance in the operation of power systems, the optimal power flow (OPF)
problem has attracted increasing interest with the introduction of smart grids. Optimal power …