Evolutionary Multiobjective Optimization including Practically Desirable Solutions

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/aor/volume-2017/9094514/figures/9094514.fig.007a.svgz" name="9094514.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b><svg height="12.7178pt" id="M225" style="vertical-align:-3.42947pt" version="1.1" viewbox="-0.0498162 -9.28833 11.7923 12.7178" width="11.7923pt" 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="M619 670C619 686 593 712 555 712S459 686 410 634S335 504 320 430H250L219 400L222 388H312L258 73C223 -133 201 -166 187 -180C175 -191 158 -199 140 -199C123 -199 88 -188 74 -172C68 -166 63 -164 54 -171C38 -185 23 -201 23 -215C23 -236 60 -261 93 -261C122 -261 161 -247 207 -200C268 -138 300 -71 337 94C365 220 376 277 394 387L501 399L521 430H401C432 623 464 665 501 665C524 665 544 651 567 627C577 617 583 618 592 625C601 631 619 651 619 670Z" 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<div>Proposed method searching concurrently on the original space <span class="nowrap"><svg height="15.6876pt" id="M220" style="vertical-align:-3.4294pt" version="1.1" viewbox="-0.0498162 -12.2582 72.255 15.6876" width="72.255pt" 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="M52 442L22 406L27 394H92V108C92 45 88 39 30 32V0H302V32C227 39 220 45 220 108V394H321C335 401 339 431 335 442H220L218 477C214 562 214 597 220 616C224 631 233 642 251 642C279 642 311 617 335 593C345 583 355 583 369 593C384 605 395 618 399 629C406 644 405 659 391 673C374 689 349 701 309 703C261 697 226 679 190 649C133 601 112 553 105 531C97 507 92 486 92 464V442H52Z" id="g13-100"></path></g><g transform="matrix(.0091,0,0,-0.0091,5.256,-5.741)"><path d="M309 -142C211 -61 151 99 151 271S210 601 309 683L288 710C141 611 75 451 75 272V271C75 90 141 -72 288 -169L309 -142Z" id="g50-41"></path></g><g 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Advances in Operations Research

fig7

Figure 7

Figure 7: Evolutionary Multiobjective Optimization including Practically Desirable Solutions 