The study maximizes the total profit of a hybrid power system with cascaded hydropower
plants, thermal power plants, pumped storage hydropower plants, and wind and solar power …

This paper presents the applications of novel metaheuristic algorithms including equilibrium
optimization (EO), coot optimization, and slime mould optimization together with three …

This paper proposes an improved slime mould algorithm (ISMA) to minimize the total
electricity generation cost of thermal power plants (TPs) in newly developed hybrid power …

Featured Application Short-term hydrothermal scheduling is a physically existing problem
that deals with the combined operation of hydro and thermal generators. The two types of …

Abstract This study applies Jellyfish Search Algorithm and five other algorithms to minimize
the electricity generation cost of two hybrid systems for one operating day. The first system …

This paper examines the effectiveness of a pumped storage hydropower plant (PSHP) when
combined with other plants. System 1 examines the contribution of the PSHP to reducing …

This research applies new computing methods to optimize the operation of a typical
hydrothermal system for one day. The system consists of one thermal power plant (TPP) and …

This paper investigates the effectiveness of the water storage and electricity generation of a
pumped-storage hydroelectric plant (PSP) for maximizing total electricity sale revenue of …

An optimal short-term hydro-thermal scheduling (ST-HTS) problem is solved in this paper
using the multi-function global particle swarm optimization (MFGPSO). A multi-reservoir …

The university course timetabling problem (UCTP) is one of the most challenging scheduling
problems and also classified to be a Non-deterministic Polynomial (NP)-hard problem. An …