The user can specify popu-lation size,number of generations, antenna figure-of-merit, and all otherparametersneeded by the GA. All GA parameters arechanged by editing a single set-up file. Genetic algorithms are superior to deterministic optimzers,and they are easily implemented on a PC. GA optimizers canproduce remarkable results not achievable with any other designtechnique.
A genetic algorithmmimics natural sel- ection ('survival of the fittest') by creatinggenerations of Yagi designs in which the best designs ('individuals')pass their design parameters ('genes') onto the next generation in sucha way that better and better antennas are the result. YGO2(YAGI GENETIC OPTIMIZER II) designs optimized Yagiantennas using one of the most recent and powerful techniques inapplied electro- magnetics: a genetic algorithm. UnexcitedDEsare assumed to be terminated in the feed system characteristic imped-ance. Unlikethe original release of YGO, this version allows theuser to optimize the array at up to 15 different frequencies, and tospecifya different driven element (if desired) at each frequency. It may be freely copied anddistributed, but ONLY as long as there is no cost to therecipient. Numerical Electromagnetic Code (nec)-method Of Moments.Download Numerical Electromagnetic Code Free Download.The first edition of Numerical Techniques in Electromagnetics filled that. Despite this dramatic growth, however, the EM community lacked a comprehensive text on the computational techniques used to solve EM problems. As the availability of powerful computer resources has grown over the last three decades, the art of computation of electromagnetic (EM) problems has also grown - exponentially. Numerical electromagnetics code, free numerical electromagnetics code software download.
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