Research Article
A Biobjective and Trilevel Programming Model for Hub Location Problem in Design of a Resilient Power Projection Network
Table 2
Traffic flow matrix between nodes (unit: t).
| Nodes | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
| 1 | 0 | 312 | 278 | 563 | 357 | 210 | 469 | 535 | 589 | 223 | 380 | 433 | 375 | 418 | 260 | 2 | 312 | 0 | 433 | 246 | 223 | 592 | 314 | 438 | 585 | 274 | 277 | 337 | 573 | 356 | 309 | 3 | 278 | 433 | 0 | 252 | 374 | 237 | 446 | 204 | 429 | 516 | 294 | 379 | 428 | 225 | 399 | 4 | 563 | 246 | 252 | 0 | 539 | 402 | 312 | 499 | 295 | 583 | 448 | 440 | 269 | 236 | 302 | 5 | 357 | 223 | 374 | 539 | 0 | 430 | 524 | 362 | 595 | 236 | 328 | 405 | 224 | 490 | 423 | 6 | 210 | 592 | 237 | 402 | 430 | 0 | 501 | 244 | 244 | 308 | 410 | 589 | 484 | 325 | 317 | 7 | 469 | 314 | 446 | 312 | 524 | 501 | 0 | 579 | 224 | 434 | 314 | 531 | 276 | 377 | 357 | 8 | 535 | 438 | 204 | 499 | 362 | 244 | 579 | 0 | 259 | 390 | 563 | 421 | 213 | 222 | 522 | 9 | 589 | 585 | 429 | 295 | 595 | 244 | 224 | 259 | 0 | 590 | 230 | 435 | 366 | 324 | 306 | 10 | 223 | 274 | 516 | 583 | 236 | 308 | 434 | 390 | 590 | 0 | 524 | 343 | 229 | 436 | 564 | 11 | 380 | 277 | 294 | 448 | 328 | 410 | 314 | 563 | 230 | 524 | 0 | 542 | 585 | 472 | 361 | 12 | 433 | 337 | 379 | 440 | 405 | 589 | 531 | 421 | 435 | 343 | 542 | 0 | 221 | 322 | 432 | 13 | 375 | 573 | 428 | 269 | 224 | 484 | 276 | 213 | 366 | 229 | 585 | 221 | 0 | 268 | 312 | 14 | 418 | 356 | 225 | 236 | 490 | 325 | 377 | 222 | 324 | 436 | 472 | 322 | 268 | 0 | 386 | 15 | 260 | 309 | 399 | 302 | 423 | 317 | 357 | 522 | 306 | 564 | 361 | 432 | 312 | 386 | 0 |
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