In this paper, the chaotic bat algorithm (CBA) is applied to solve the optimal reactive power
dispatch (ORPD) problem taking into account small-scale, medium-scale and large-scale …

In this paper, a novel Cauchy-Gaussian quantum-behaved bat algorithm (CGQBA) is
applied to solve the economic load dispatch (ELD) problem. The bat algorithm (BA) is an …

The combined economic and emission dispatch (CEED) problem is a multi-objective non-
linear optimization problem with several constraints. Its target is searching for optimum …

This study proposes a framework for economic–emission dispatch problem (EEDP) in
microgrids (MGs). The problem of EEDP aims at finding the optimal scheduling of renewable …

In the current research, a comparative study of two modern optimization algorithms is carried
out for finding the solution of non‐smooth economic/ecological emission load dispatch …

This paper investigates the performance of a chaotic salp swarm optimization (CSSO)
algorithm for solving optimal power flow (OPF) problems. The proposed CSSO-based …

This study's primary purpose is to improve the original krill herd (KH) optimization algorithm
by using chaos theory and propose a novel chaotic krill herd (CKH) optimization algorithm …

ED (Economic Dispatch) is one of the major problems of power system operation. The aim of
ED problem is the efficient utilization of resources to provide the demanded power while …

Optimal Power Flow (OPF) problem is one of the most important and widely studied
nonlinear optimization problems in power system operation. This study presents the …

The present paper aims to validate an electrical network study in consisting of conventional
fossil fuel generators with the integration of intermittent generation technologies based on …