Artificial Bee Colony Algorithm Based on <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.06579971pt" id="M1" height="11.4135pt" version="1.1" viewBox="-0.0657574 -11.3477 13.2565 11.4135" width="13.2565pt"><g transform="matrix(.017,0,0,-0.017,0,0)"><path id="g50-76" d="M771 650H519L511 619L537 615C578 610 579 600 539 564C444 476 379 428 336 396C312 378 281 357 252 347L283 514C300 605 304 610 388 619L395 650H134L127 619C212 610 216 605 199 514L130 140C112 41 103 38 28 31L18 0H281L288 31C201 40 198 41 216 140L246 311C274 328 289 324 315 284C393 167 458 86 528 0H686L695 31C635 37 612 45 570 97C521 156 420 285 361 367L596 549C663 601 684 609 764 620L771 650Z"/></g></svg>-Means Clustering for Multiobjective Optimal Power Flow Problem

<div>Diversity metric <svg height="9.4034pt" id="M218" style="vertical-align:-3.40335pt" version="1.1" viewbox="-0.0498162 -6.00005 6.6501 9.4034" width="6.6501pt" 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="M478 400C478 445 461 451 447 451C425 451 399 442 369 425C316 395 241 339 172 252H170L191 340C198 371 203 395 203 412C203 439 194 451 178 451C147 451 81 411 24 351L43 324C68 349 101 371 111 371C117 371 122 363 115 334L35 -4L42 -11C61 -4 87 3 117 9C130 72 144 130 158 181C241 296 342 379 383 379C398 379 404 370 384 285L330 60C302 -58 282 -164 282 -190S323 -257 354 -257L361 -243C357 -223 359 -177 382 -73L464 303C474 347 478 378 478 400Z" id="g50-229"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="502" vert-adv-y="502"></glyph.data></g></svg>.</div>

Mathematical Problems in Engineering

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Figure 3

Figure 3: Artificial Bee Colony Algorithm Based on <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.06579971pt" id="M1" height="11.4135pt" version="1.1" viewBox="-0.0657574 -11.3477 13.2565 11.4135" width="13.2565pt"><g transform="matrix(.017,0,0,-0.017,0,0)"><path id="g50-76" d="M771 650H519L511 619L537 615C578 610 579 600 539 564C444 476 379 428 336 396C312 378 281 357 252 347L283 514C300 605 304 610 388 619L395 650H134L127 619C212 610 216 605 199 514L130 140C112 41 103 38 28 31L18 0H281L288 31C201 40 198 41 216 140L246 311C274 328 289 324 315 284C393 167 458 86 528 0H686L695 31C635 37 612 45 570 97C521 156 420 285 361 367L596 549C663 601 684 609 764 620L771 650Z"/></g></svg>-Means Clustering for Multiobjective Optimal Power Flow Problem 

Mathematical Problems in Engineering

Artificial Bee Colony Algorithm Based on -Means Clustering for Multiobjective Optimal Power Flow Problem

Figure 3