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

Power generation system largely depends on fossil fuels to generate electricity. Due to
various reasons, the reserves of fossil fuels are declining and will become too expensive in …

The trial-and-error method for calibrating rock mechanics parameters has the disadvantages
of complexity, being time-consuming, and difficulty in ensuring accuracy. Harnessing the …

Reducing pollutant emissions from electricity production in the power system positively
impacts the control of greenhouse gas emissions. Boosting kernel search optimizer (BKSO) …

A new global particle swarm optimization (NGPSO) algorithm is proposed to solve the
economic emission dispatch (EED) problems in this paper. NGPSO is different from the …

This study introduces a novel meta-heuristic optimization algorithm known as quasi-
oppositional modified Jaya (QOMJaya) to solve different multi-objective optimal power flow …

Metaheuristics are proven beneficial tools for solving complex, hard optimization problems.
Recently, a plethora of work has been reported on bio inspired optimization algorithms …

As increasing demand of electric energy and deterioration of environment pollution in
global, economic emission dispatch (EED) problem has become one of the most important …

The economic load dispatch (ELD) problems considering nonlinear characteristics such as
valve point effects (VPE), multiple fuels (MF), transmission network losses, ramp rate limits …

A hybrid artificial algae algorithm (HAAA) has been proposed in this paper that hybridizes
the artificial algae algorithm (AAA) and simplex search method (SSM) to solve economic …