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>(a) <svg height="8.64656pt" id="M135" style="vertical-align:-0.04981995pt" version="1.1" viewbox="-0.0498162 -8.59674 8.12461 8.64656" width="8.12461pt" 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="M606 650H137L129 618C217 609 221 609 203 518L129 129C115 46 106 40 26 32L18 0H300L307 32C210 40 203 45 218 129L249 305H358C454 305 455 296 457 219H491L531 425H497C465 353 463 350 366 350H259L300 569C306 605 310 611 346 611H444C522 611 535 598 541 578C550 557 553 519 552 485L588 489L606 650Z" id="g50-71"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="630" vert-adv-y="630"></glyph.data></g></svg> and (b) CR values for a run generated using beta distribution in the beta distribution.</div>

Mathematical Problems in Engineering

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Figure 1

Figure 1: 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 1