This paper presents an economic dispatch algorithm based on the generic alg
orithm (GA) for the determination of rite global or quasi-global optimum di
spatch solution under consideration of transmission losses. In practice, th
e efficiency of GA is sometimes hindered by a poor performance in a localiz
ed search or by the difficultly of finding and maintaining feasibility for
a constrained problem. To deal with these problems, an advanced genetic alg
orithm is developed. With the help of local improvement operator; combined
with a conjugate gradient method, the performance of the GA is enhanced. By
means of heuristic scaling of fitness functions and adaptation of penalty
factors, the genetic search in the feasible region can be improved. The alg
orithm is implementation in the binary search space and tested with multi-m
odal non-linear functions. The application of the algorithm to a test syste
m is also demonstrated, where transmission losses are represented by the B-
matrix loss formula.