Particle swarm optimization (PSO) is a population-based stochastic search technique for
solving optimization problems over continuous space, which has been proven to be efficient …

This paper presents a distributed algorithm based on auction techniques and consensus
protocols to solve the nonconvex economic dispatch problem. The optimization problem of …

Solving the non-convex economic load dispatch (ELD) problem with evolutionary algorithms
has gained increasing research in recent years. In this paper, a differential harmony search …

Economic load dispatch (ELD) problem is one of the basic and important optimization
problems in a power system. However, considering practical constraints of real-world power …

With the depletion of coal and increasing fuel prices, a proper schedule of available
generating units may save millions of dollars per year in production cost. In this article, the …

Economic Load Dispatch (ELD) is an important and difficult optimization problem in power
system planning. This article aims at addressing two practically important issues related to …

Fossil-fuel based power sources cause environmental pollution such as the degradation of
air quality and climate change, which negatively impacts the life on the earth. Consequently …

This paper proposes a novel Adaptive Real Coded Genetic Algorithm (ARCGA) to solve the
nonconvex and nonsmooth economic dispatch (ED) problem considering valve loading …

In this paper, at first, a more realistic formulation of the economic dispatch (ED) problem is
proposed, which considers more practical constraints and nonlinear characteristics than …

As one of important optimization problems in power system, economic dispatch (ED) with
multiple fuel options is characterized by high non-convexity, non-linearity and discontinuity …