Yagi-Uda antenna is used to transmit and receive electromagnetic waves. Yagi-Uda antenna alsornused for different applications in wireless communication systems,such as radio and televisionrnbroadcasting, point-to-point radio communication, wireless local area network, radar, and spacernexploration. The main objective of this thesis is to discuss the design and performance factor ofrnYagi-Uda antenna. The design factor include antenna geometry,such as element length,elementrnspacing and element diameters. The performance includes gain,voltage standing wave ratio, frontrnto back ratio, impedance and radiation pattern. In this work Yagi-Uda antenna simulation was donernby using Numerical electromagnetic code (NEC),comsol multiphysics and matlab software. Thernway of improving antenna performance is based on antenna geometry, such as element length,rnelement spacing and element diameter. Numerical Electromagnetic Coding (4NEC2) is fast andrnefficient that used to simulate antenna parameters, such as voltage standing wave ratio, front-tobackrnratio, input impedance, reflection coefficient and gain numerically and graphically withrnimproved radiation pattern. Whereas comsol multiphysics is used to simulate electromagnetic fieldrnin two, three dimensions and mat lab is used to optimize gain and radiation pattern. Antennarndesigned at 100MHz for home television receiver and the performance was simulated conventionalrn(by varying director length and spacing) and unconventional(by using multi-objective optimizationrnmethode). In the former the result couldnot meet the required solution or optimal solution,thereforernunconventional (optimal design ) would be important to get the optimal solution with high antennarnperformance. By using genetic algorithms with multi-objective optimization method the forwardrngain maximized and the real part impedance is adjusted to be 50Î© and imaginary part beingrndifferent from zero. Finally the result was optimized with optimal element length and elementrnpacing with element diameters held constant and the number of elements is set at N=4,6 and12rnThe gain of the designed antenna is compared with the conventional results. The unconventionalrndesign result was 6.74 dBi,9.97dBi and 10.98dBi for N=4,6 and12 respectively which is improvedrnas compared to the conventional design with results in 6.71dBi,8.32dBi and 9.94dBi respectively,rntherefore as the result shows genetic algorithms can be used to increase forward gain for largernnumber of elements.