الفهرس 
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Abstract
The impact of reliability and planning in power systems has become a very important concept with the growth of energy needs. We can say that to produce a highly reliable system and to perform a reliable transmission expansion planning we will face in both problems a large-scale combinatorial problem.
In this work the nonlinear optimization of the reliability problem has been formulated, also a development of genetic algorithm and its applications to a least cost and reliable transmission expansion planning has been presented.
The proposed algorithms depends upon using the simple genetic algorithm (SGA) which is a derivative-free stochastic optimization method based loosely on the concepts of natural selection and evolutionary processes.