الفهرس Only 14 pages are availabe for public view
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Abstract
this thesis is concerned with genetic algorithms (gas), and their applications in control systems. the two types of gas, classical ga (cga), and real-coded ga (rga), ara considered. two prodlems face both types of gas: the first problem is the cinvergence to suboptimal solution, and the other problem is the slow speed of convergence. these problems highly reduces the potential of gain real time control applicationsthe main contribution of this thesis is the modification of gas to ensure fast convergence to global solution. the proposed algorithms are: the modified immune genetic algorithm (miga) , hybridized immunity mechanism based on evolutionaty algorithm (himea), and a new sing for genetic algorithms on-linethe second contribution is the practical application of a ga to an industrial process. two models are obtained for multizone electrical heat furnace using ga .