The objective of the Economic Dispatch Problems (EDPs) of electric power generation is to
schedule the committed generating units outputs so as to meet the required load demand at …

The economic load dispatch and social security as its name implies requires that generating
units must be paired in order to optimize operating cost. In the power sector, the generating …

Global optimization based on evolutionary algorithms can be used as the important
component for many engineering optimization problems. Evolutionary algorithms have …

The resource saving dispatching aims at finding the optimal combination of powers
produced by power generating units that minimizes the total costs subject to given …

This paper develops a Novel Stochastic Search (NSS) method for the solution of economic
dispatch problems with non-convex fuel cost functions. The NSS solution procedure consists …

This paper integrated the ideas of Direct Search and Signal-to-Noise Ratio (SNR) to develop
a Novel Direct Search (NDS) method for solving the non-convex economic dispatch …

Soft computing is the state-of-the-art approach to artificial intelligence and it has showed an
excellent performance in solving the combined optimization problems. In this paper, issues …

The economic load dispatch (ELD) plays an important role in power system operation and
control. Different techniques have been used to solve these problems. Recently, the soft …

This paper develops a partition approach algorithm (PAA) to solve economic dispatch with
non-smooth fuel cost. The PAA developed integrates the multi-section divided and interval …

This paper proposes a coevolutionary augmented Lagrangian method (AGCE) for solving
the classic economic dispatch problem. This problem becomes non-convex and non …