This research implements a recent evolutionary-based algorithm of equilibrium optimizer to resolve the constrained combined economic emission dispatch problem. problem has two objective functions that represent minimizing generation costs and environmental pollution caused by generators. The proposed integrates dominant criteria for multiobjective allow decision-maker detect all Pareto boundari...

The main objective of the power system is to supply the total power requirement to the users at minimum possible fuel cost and with minimum emissions. Combined economic and emission load dispatch determines the optimal generation of the power system by minimizing the fuel cost and emission levels simultaneously. Economic Load Dispatch is the most remarkable problem in optimization for forecasti...

The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches like dynamic programming, lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received m...