چکیده:
The problem of scheduling of maintenance electric station in electric companies is the problem of achieving the best solution, which will be resolved under the multiple constraints. These problems have attracted researchers from number of areas such as operation research and artificial intelligence, which suggested number of ways to disbanded. The most important thing in the preparation of the maintenance schedule is to take in account the various constraints such as the hard constraints and soft constraints. Hard constraints are the conditions that must be satisfied and there are, maintenance must thermal faults begin, that no more than 4 months continuous maintenance for each station within a year etc.. The soft constraints are the conditions that may have been violated, but must be satisfied as much as possible, such as number of months of ongoing maintenance for each station, the number of stations under maintenance per month and the amount of production lost due to maintenance. Through our study, we will focus on the application of genetic algorithm to solve the problems of the real world of maintenance scheduling in situation by the design of an integrated system to solve the problem of the schedule of maintenance electric station in general electric company of Libya, through the use of genetic algorithm methods to deal with the numerous restrictions in order to produce the schedule of the maintenance well within seconds.