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 …

In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to
solve complex optimization problems. However, these algorithms suffer from the …

In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and
applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch …

Renewable sources can supply a clean and smart solution to the increased demands. Thus,
Photovoltaic (PV) and Wind Turbine (WT) are taken here as resources of Distributed …

An improved bare-bone multi-objective particle swarm optimization (IBBMOPSO) is
proposed to solve the combined heat and power economic emission dispatch problems. To …

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

Owing to no free lunch theorem, meta-heuristic search algorithms, behaviour and
performance are different for solving specific class of optimization problems than another …

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 …

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 …

This study implements a potent Multiobjective Multi-Verse Optimization algorithm to solve
the highly complicated combined economic emission dispatch and combined heat and …