A multiobjective environmental economic dispatching model of power system is established
with minimum economic cost and pollution emission as the optimization objectives to meet …

Particle swarm optimization (PSO) is a common metaheuristic algorithm. However, when
dealing with practical engineering structure optimization problems, it is prone to premature …

This paper proposes a crisscross team game algorithm (CTGA) to solve single and multi-
objective optimization problems. CTGA integrates dual crisscross mechanisms orthogonally …

This paper proposes a new algorithm, known as Refraction based Whale Optimization
Algorithm (RWOA), for providing optimal solutions to the Combined Economic Emission …

La resolución del problema de despacho económico ha sido una tarea relevante en el
sector eléctrico, la cual se vuelve complicada cuando, a más de considerar los costos, se …

Microgrid energy management system (EMS)/power management system (PMS)
optimisation problems often have conflicting objectives subjected to nonlinear constraints …

As environmental concerns have grown, the combined economic emission dispatch (CEED)
problem has gotten a lot of attention. Both the cost of fuel and the emission pollution caused …

With the rapid development in technology, Artificial Intelligence is responsible for giving
solution to every new problem in technology. Artificial Intelligence is the combat process of …

The abstract should summarize the contents of the paper in short terms, ie, 150–250 words.
This paper proposes a rational multi-objective particle swarm algorithm (RMOPSO) for …

Frequent escalations in fuel costs, environmental concerns, and the depletion of non-
renewable fuel reserves have driven the power industry to significant utilisation of …