A double population genetic algorithm(DPGA) combined with finite-difference time-domain(FDTD) method is introduced to optimize the element spacing and lengths of Yagi-Uda antennas.

A double population genetic algorithm (DPGA) is presented and applied to synthesize the array antenna pattern by controlling only the current amplitudes.

In response to this defect,proposes genetic algorithm based on the out mechanism,to imitate the natural and social evolution,introduces the"war" model into the dual population genetic algorithm,the purpose is to establish a new out mechanism to maintain the diversity of population,avoiding premature convergence.

In this paper, the simple genetic algorithms are improved, the numerical model of electromagnetic wave with simple hole is reproducted to holographic image by using the improved genetic algorithms( IGAs).

A new approach based on the detected position and the improved genetic algorithms is developed,namely the two stage method.

Based on the non-circular failure surface analysis method for the calculation of integral stability of slope,an improved genetic algorithm is presented;it can freely search for the most dangerous failure surface of slope and corresponding minimum safety factor without supposing the geometric shape of the most dangerous failure surface.

An improved genetic algorithm (IGA) is put forward, which could adjust control parameters dynam- ically and improve the best solution and convergence speed.

The improved genetic algorithm has better feature of global minimum.