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

Abstract Incremental Artificial Bee Colony algorithm with Local Search (IABC-LS) is one of
efficient variant of artificial bee colony optimization which was successfully applied to …

Today it is very important to consider environmental effects in economic power dispatch
problems as well. These kinds of problems, which are called environmental economic power …

This article presents a new hybrid algorithm based on particle swarm optimization (PSO)
and the gravitational search algorithm (GSA) for solving the combined economic and …

This article presents multi-objective variants of two popular metaheuristics, namely, the
artificial bee colony algorithm (ABC) and the teaching learning based optimization algorithm …

Economic generation scheduling (EGS) is a non-convex optimization problem for allocating
optimal generation among the committed units that can meet given real-world practical limits …

In this paper a variant named time varying acceleration based particle swarm optimization
(PSO-TVAC) proposed to enhance the solution of the combined environmental economic …

The zigzag search algorithm has been applied in engineering fields, such as oil well
placement, with satisfactory results. In this paper, the zigzag search algorithm is introduced …

Multiobjective (MO) optimization is an emerging field which is increasingly being
encountered in many fields globally. Various metaheuristic techniques such as differential …

This paper critically reviews the reported research on parallel single and multi-objective
genetic algorithms. Many early efforts on single and multi-objective genetic algorithms were …