Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm
motivated by intelligent collective behavior of some animals such as flocks of birds or …

This paper presents the application of one of the latest swarm intelligence algorithms, the
grey wolf optimizer, for solving economic dispatch problems that are nonlinear, non-convex …

This paper presents the application of a new metaheuristic optimization algorithm, the
chaotic bat algorithm for solving the economic dispatch problem involving a number of …

The osprey optimization algorithm (OOA) is a new metaheuristic motivated by the strategy of
hunting fish in seas. In this study, the OOA is applied to solve one of the main items in a …

This article presents a new evolutionary optimization approach named grey wolf
optimization (GWO), which is based on the behaviour of grey wolves, for the optimal …

Owing to no free lunch theorem, meta-heuristic search algorithms, behaviour and
performance are different for solving specific class of optimization problems than another …

Strategic planning for optimal operation of modern power systems has always been a
significant task to satisfy the techno‐social aspects in the sustainable energy scenario. In the …

In this paper a new modified artificial bee colony algorithm (MABC) is proposed to solve the
economic dispatch problem by taking into account the valve-point effects, the emission …

Economic load dispatch (ELD) is an important topic in the operation of power plants which
can help to build up effective generating management plans. The practical ELD problem has …

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