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>Convergence metric <svg height="9.49473pt" id="M211" style="vertical-align:-0.2063999pt" version="1.1" viewbox="-0.0498162 -9.28833 7.55047 9.49473" width="7.55047pt" 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="M547 100L523 123C489 76 461 62 452 62C442 62 433 71 427 109C405 243 387 408 378 495C360 666 322 710 263 710C230 710 182 688 161 667L170 639C184 646 203 651 218 651C247 651 272 634 288 562C297 521 300 485 304 436C230 267 111 104 24 11L33 -12L116 6C163 73 263 255 311 362L347 84C355 26 373 -12 406 -12C440 -12 489 12 547 100Z" id="g50-233"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="571" vert-adv-y="571"></glyph.data></g></svg>.</div>

Mathematical Problems in Engineering

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Figure 2

Figure 2: 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 2