Economic Load Dispatch (ELD) is the process of allocating the required load between the available generation units such that the cost of operation is minimized. The ELD problem is formulated as a nonlinear constrained optimization problem with both equality and inequality constraints. The dual-objective Combined Economic Emission Dispatch (CEED) problem is considering the environmental impacts that accumulated from emission of gaseous pollutants of fossil-fuelled power plants. In this work, an MATLAB implementation of Meta Heuristic Optimization to solve ELD and CEED problems in power systems is discussed. Results obtained by the Meta Heuristic Optimization are compared each other ten generating model considering valve point effect in terms of total cost and computational time.
 
Meta Heuristic Optimization:
 
Ant lion optimization 
BAT algorithm
Black Widow Optimization Algorithm
Crow search Algorithm
Dragonfly Algorithm
Flower Pollination Algorithm
Genetic Algorithm
Grasshopper optimization algorithm
Grey Wolf Optimization
Moth flame optimization
Multi verse optimization
Particle swarm optimization
Salp swarm optimization algorithm
Whale optimization algorithm