Considered one of the most innovative research directions, computational intelligence (CI)
embraces techniques that use global search optimization, machine learning, approximate …

Electric utilities are the companies responsible for ensuring energy supply meets their
customers' requirement. While ensuring the energy is generated in the right amount, they …

This paper presents a Differential Evolution algorithm combined with Opposition Based
Learning (DE-OBL) to solve Economic Load Dispatch problem with non-smooth fuel cost …

Economic load dispatch (ELD) have been applied to obtain optimal fuel cost of generating
units. Genetic Algorithm (GA) is a global search technique based on principles inspired from …

In recent decades, with a large increase in power demand, fuel cost, and limited fuel supply
it has become very essential to run the power systems with minimum cost so that the …

Many traditional optimization methods have been successfully used from years to deal with
ELD problem. However these techniques have limitations in many aspects as they provide …

Economic load dispatch (ELD) is widely used by the energy utilities to properly distribute
correct amount of generation level among generating units in order to efficiently serve the …

Economically transmitting the energy obtained from power generation units through
transmission and distribution lines is critical for environmentally friendly and sustainable …

This paper presents an Improved Differential Evolution (IDE) algorithm to solve Economic
Load Dispatch (ELD) problem with non-smooth fuel cost curves considering transmission …

Economic load dispatch (ELD) is an important issue in the operation of power system, and
several models by using different techniques have been used to solve these problems …