Synthesis of Thinned Planar Antenna Array Using Multiobjective Normal Mutated Binary Cat Swarm Optimization

<div>Pareto fronts for trading off the PSLL and FNBW in entire <svg height="9.24682pt" id="M72" style="vertical-align:-0.6109209pt" version="1.1" viewbox="-0.0498162 -8.6359 6.36303 9.24682" width="6.36303pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M411 648L381 663L349 596C321 620 285 635 241 635C89 635 35 457 35 312C35 217 55 118 102 56L63 -24L92 -43L128 29C157 3 194 -12 240 -12C390 -12 443 166 443 312C443 406 424 507 374 569L411 648ZM141 132C126 185 119 247 119 312C119 465 149 601 239 601C278 601 305 577 321 542L141 132ZM338 497C355 434 360 373 360 312C360 159 329 21 240 21C202 21 174 47 157 85L338 497Z" id="g113-25"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g></svg> plane using MO-NMBCSO and MO-BPSO.</div>

Applied Computational Intelligence and Soft Computing

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Figure 3

Figure 3: Synthesis of Thinned Planar Antenna Array Using Multiobjective Normal Mutated Binary Cat Swarm Optimization 