Evolution and Optimum Seeking

More documents

Recommendations

Info

194 Comparison of Direct Search Strategies for Parameter Optimization Figure 6.6: Strategy of Davies, Swann, and Campey with Gram-Schmidt orthogonalization Figure 6.7: Strategy of Davies, Swann, and Campey with Palmer orthogonalization .
Numerical Comparison of Strategies 195 no convergence Figure 6.8: Strategy of Powell with conjugate directions Figure 6.9: Strategy of Davidon, Fletcher, Powell, and Stewart as formulated by Lill (variable metric) no convergence
Page 1:
Evolution and Optimum Seeking Hans-
Page 4 and 5:
vi Multiple Data) machines with man
Page 6 and 7:
viii 3.2.1.6 Complex Strategy of Bo
Page 9 and 10:
Chapter 1 Introduction There is sca
Page 11 and 12:
Introduction 3 simple matter to col
Page 13 and 14:
Chapter 2 Problems and Methods of O
Page 15 and 16:
Particular Problems and Methods of
Page 17 and 18:
Page 19 and 20:
Page 21 and 22:
Page 23 and 24:
Page 25 and 26:
Page 27 and 28:
Other Special Cases 19 with expecta
Page 29 and 30:
Other Special Cases 21 parts of the
Page 31 and 32:
Chapter 3 Hill climbing Strategies
Page 33 and 34:
One Dimensional Strategies 25 then
Page 35 and 36:
One Dimensional Strategies 27 Even
Page 37 and 38:
One Dimensional Strategies 29 The b
Page 39 and 40:
One Dimensional Strategies 31 F(x)
Page 41 and 42:
One Dimensional Strategies 33 For t
Page 43 and 44:
One Dimensional Strategies 35 It is
Page 45 and 46:
One Dimensional Strategies 37 F P F
Page 47 and 48:
Multidimensional Strategies 39 the
Page 49 and 50:
Multidimensional Strategies 41 asch
Page 51 and 52:
Multidimensional Strategies 43 e 2
Page 53 and 54:
Multidimensional Strategies 45 Step
Page 55 and 56:
Multidimensional Strategies 47 Numb
Page 57 and 58:
Multidimensional Strategies 49 wher
Page 59 and 60:
Page 61 and 62:
Multidimensional Strategies 53 Numb
Page 63 and 64:
Multidimensional Strategies 55 The
Page 65 and 66:
Multidimensional Strategies 57 Anum
Page 67 and 68:
Page 69 and 70:
Multidimensional Strategies 61 Iter
Page 71 and 72:
Multidimensional Strategies 63 (If
Page 73 and 74:
Multidimensional Strategies 65 eval
Page 75 and 76:
Multidimensional Strategies 67 The
Page 77 and 78:
Multidimensional Strategies 69 devi
Page 79 and 80:
Multidimensional Strategies 71 spec
Page 81 and 82:
Multidimensional Strategies 73 othe
Page 83 and 84:
Multidimensional Strategies 75 anot
Page 85 and 86:
Multidimensional Strategies 77 3.2.
Page 87 and 88:
Page 89 and 90:
Multidimensional Strategies 81 Brow
Page 91 and 92:
Multidimensional Strategies 83 (197
Page 93 and 94:
Multidimensional Strategies 85 meth
Page 95 and 96:
Chapter 4 Random Strategies One gro
Page 97 and 98:
Random Strategies 89 parts is taken
Page 99 and 100:
Random Strategies 91 Pardalos and R
Page 101 and 102:
Random Strategies 93 to write the n
Page 103 and 104:
Random Strategies 95 the expectatio
Page 105 and 106:
Random Strategies 97 maintained at
Page 107 and 108:
Random Strategies 99 works entirely
Page 109 and 110:
Random Strategies 101 the principle
Page 111 and 112:
Random Strategies 103 out, a limite
Page 113 and 114:
Chapter 5 Evolution Strategies for
Page 115 and 116:
The Two Membered Evolution Strategy
Page 117 and 118:
Page 119 and 120:
Page 121 and 122:
Page 123 and 124:
Page 125 and 126:
Page 127 and 128:
A Multimembered Evolution Strategy
Page 129 and 130:
Page 131 and 132:
Page 133 and 134:
Page 135 and 136:
Page 137 and 138:
Page 139 and 140:
Page 141 and 142:
Page 143 and 144:
Page 145 and 146:
Page 147 and 148:
Page 149 and 150:
Page 151 and 152: A Multimembered Evolution Strategy
Page 159 and 160: Genetic Algorithms 151 too is the c
Page 161 and 162: Genetic Algorithms 153 mean objecti
Page 163 and 164: Genetic Algorithms 155 p( ∆x) 1 1
Page 165 and 166: Genetic Algorithms 157 out any chan
Page 167 and 168: Genetic Algorithms 159 Average Numb
Page 169 and 170: Simulated Annealing 161 There are t
Page 171 and 172: Tabu Search and Other Hybrid Concep
Page 173 and 174: Chapter 6 Comparison of Direct Sear
Page 175 and 176: Theoretical Results 167 Oettli, 196
Page 177 and 178: Theoretical Results 169 where 0
Page 179 and 180: Theoretical Results 171 tions. Simi
Page 181 and 182: Numerical Comparison of Strategies
Page 201: Numerical Comparison of Strategies
Page 241 and 242: Core storage required 233 term \cor
Page 243 and 244: Chapter 7 Summary and Outlook So, i
Page 245 and 246: Summary and Outlook 237 numerical o
Page 247 and 248: Summary and Outlook 239 considerabl
Page 249 and 250: Summary and Outlook 241 is called t
Page 251 and 252: Summary and Outlook 243 to the prod
Page 253 and 254:
Summary and Outlook 245 tition betw
Page 255 and 256:
Summary and Outlook 247 the experim
Page 257 and 258:
Chapter 8 References Glossary of ab
Page 259 and 260:
References 251 Anscombe, F.J. (1959
Page 261 and 262:
References 253 Bandler, J.W. (1969b
Page 263 and 264:
References 255 Bendin, F. (1992), E
Page 265 and 266:
References 257 Booth, A.D. (1955),
Page 267 and 268:
References 259 Brent, R.P. (1971),
Page 269 and 270:
References 261 Carroll, C.W. (1961)
Page 271 and 272:
References 263 Courant, R., D. Hilb
Page 273 and 274:
References 265 Davies, M., I.J. Whi
Page 275 and 276:
References 267 Dvoretzky, A. (1956)
Page 277 and 278:
References 269 Fiacco, A.V. (1974),
Page 279 and 280:
References 271 Fogel, L.J., A.J. Ow
Page 281 and 282:
References 273 Gill, P.E., W. Murra
Page 283 and 284:
References 275 Graves, R.L., P. Wol
Page 285 and 286:
References 277 Heckler, R., H.-P. S
Page 287 and 288:
References 279 Ho meister, F., H.-P
Page 289 and 290:
References 281 Idelsohn, J.M. (1964
Page 291 and 292:
References 283 Karnopp, D.C. (1966)
Page 293 and 294:
References 285 Kochen, M., H.M. Has
Page 295 and 296:
References 287 Kunzi, H.P., H.G. Tz
Page 297 and 298:
References 289 LeCam, L.M., J. Neym
Page 299 and 300:
References 291 Mamen, R., D.Q. Mayn
Page 301 and 302:
294 References Miele, A., H.Y. Huan
Page 303 and 304:
296 References Murray, W. (Ed.) (19
Page 305 and 306:
298 References Oldenburger, R. (Ed.
Page 307 and 308:
300 References Peschel, M. (1980),
Page 309 and 310:
302 References Powell, M.J.D. (1970
Page 311 and 312:
304 References Rechenberg, I. (1989
Page 313 and 314:
306 References Rybashov, M.V. (1969
Page 315 and 316:
308 References Schmidt, J.W., K. Ve
Page 317 and 318:
310 References Shedler, G.S. (1967)
Page 319 and 320:
312 References Steinbuch, K. (1971)
Page 321 and 322:
314 References Tabak, D. (1970), Ap
Page 323 and 324:
316 References Varela, F.J., P. Bou
Page 325 and 326:
318 References White, L.J., R.G. Da
Page 327 and 328:
320 References Youden, W.J., O. Kem
Page 329 and 330:
322 References Glossary of Abbrevia
Page 331 and 332:
324 References
Page 333 and 334:
326 Appendix A Problem 1.2 Objectiv
Page 335 and 336:
328 Appendix A Minimum: x =(3 0:5)
Page 337 and 338:
330 Appendix A Figure A.3: Graphica
Page 339 and 340:
332 Appendix A Several of the searc
Page 341 and 342:
Page 343 and 344:
Page 345 and 346:
338 Appendix A Minimum: Start: Prob
Page 347 and 348:
340 Appendix A Problem 2.20 Objecti
Page 349 and 350:
342 Appendix A Problem 2.23 Objecti
Page 351 and 352:
344 Appendix A Start: x (0) i =10 f
Page 353 and 354:
346 Appendix A on the interval 0 y
Page 355 and 356:
348 Appendix A Problem 2.32 after B
Page 357 and 358:
350 Appendix A Constraints: Gj(x) =
Page 359 and 360:
352 Appendix A The constraints form
Page 361 and 362:
354 Appendix A Start: x (0) =(250 2
Page 363 and 364:
356 Appendix A Problem 2.44 As Prob
Page 365 and 366:
358 Appendix A Figure A.29: Graphic
Page 367 and 368:
360 Appendix A Start: Figure A.31:
Page 369 and 370:
362 Appendix A Problem 3.2 (analogo
Page 371 and 372:
364 Appendix A Problem 3.6 (analogo
Page 373 and 374:
366 Appendix A Minimum: x i =0 for
Page 375 and 376:
368 Appendix B LF (integer) Return
Page 377 and 378:
370 Appendix B 4. Convergence crite
Page 379 and 380:
372 Appendix B 8. Function Z(S,R) T
Page 381 and 382:
374 Appendix B 25 L(K)=L(K+1) L(10)
Page 383 and 384:
376 Appendix B LF=2 (continued) No
Page 385 and 386:
378 Appendix B man), vol. 15 of Pro
Page 387 and 388:
380 Appendix B instead of T, as a p
Page 389 and 390:
382 Appendix B 15 CONTINUE 16 FF=F(
Page 391 and 392:
384 Appendix B SK(KS)=AMAX1(SM(I),A
Page 393 and 394:
386 Appendix B B.3 ( + ) Evolution
Page 395 and 396:
388 Appendix B EPSILO (one dimensio
Page 397 and 398:
390 Appendix B GLEICH (real functio
Page 399 and 400:
392 Appendix B GLEICH, and TKONTR d
Page 401 and 402:
394 Appendix B 1 NL=1+N-NS NM=N-1 N
Page 403 and 404:
396 Appendix B ZSTERN=ZBEST K=LBEST
Page 405 and 406:
398 Appendix B C NEGATIVE (LETHAL M
Page 407 and 408:
400 Appendix B C C PREPARE FINAL DA
Page 409 and 410:
402 Appendix B 2 IF(.NOT.BKOMMA.OR.
Page 411 and 412:
404 Appendix B 32 WRITE(KANAL,126)
Page 413 and 414:
406 Appendix B DO 4 I=1,NX KI=KI1 I
Page 415 and 416:
408 Appendix B Subroutine MINMAX MI
Page 417 and 418:
410 Appendix B 2 IF(U.LT..965487131
Page 419 and 420:
412 Appendix B parameters by multip
Page 421 and 422:
414 Appendix B
Page 423 and 424:
416 Appendix C - SIMP Simplex strat
Page 425 and 426:
418 Appendix C C.3.2 How to Install
Page 427 and 428:
420 Appendix C { } return(0.26*(x[0
Page 429 and 430:
422 Appendix C 1 No recombination 2
Page 431 and 432:
424 Appendix C 8e-07 8e-07 Initial
Page 433 and 434:
426 Index Banach, S., 10 Bandler, J
Page 435 and 436:
428 Index Coordinate strategy, 41{4
Page 437 and 438:
430 Index Evolution strategy, 3, 6,
Page 439 and 440:
432 Index Graves, R.L., 23 Great de
Page 441 and 442:
434 Index Khurgin, Ya.I., 89 Kiefer
Page 443 and 444:
436 Index Michie, D., 102 Mickey, M
Page 445 and 446:
438 Index Parkinson, J.M., 61 Parta
Page 447 and 448:
440 Index Rotating coordinates meth
Page 449 and 450:
442 Index Storey, C., 23, 50, 54 St
Page 451:
444 Index Wilson, S.W., 103 Witt, U
show all

Evolution and Optimum Seeking

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?