View - Universidad de AlmerÃa

More documents

Recommendations

Info

viiiContentsGraham R. Wood, Duangdaw Sirisatien, and Patrick C.H. MorelGlobal optimisation applied to pig nutrition 257Yinfeng Xu and Wenqiang DaiOptimal Triangulation: Old and New Problems 263Author In<strong>de</strong>x 269
PLENARY TALKS
Page 1: PROCEEDINGS OF THEINTERNATIONAL WOR
Page 5 and 6: ContentsPrefaceiiiPlenary TalksYaro
Page 7: ContentsviiFuh-Hwa Franklin Liu, Ch
Page 12 and 13: 4 Yaroslav D. Sergeyevto work with
Page 15: EXTENDED ABSTRACTS
Page 18 and 19: 10 Bernardetta Addis and Sven Leyff
Page 24 and 25: 16 Bernardetta Addis, Marco Locatel
Page 26 and 27: 18 April K. Andreas and J. Cole Smi
Page 32 and 33: 24 Charles Audet, Pierre Hansen, an
Page 38 and 39: 30 János Balogh, József Békési,
Page 44 and 45: 36 Balázs Bánhelyi, Tibor Csendes
Page 47 and 48: Proceedings of GO 2005, pp. 39 - 45
Page 49 and 50: MGA Pruning Technique 41Figure 1. A
Page 51 and 52: MGA Pruning Technique 43O(n) = k 2
Page 53: MGA Pruning Technique 45one), while
Page 56 and 57: 48 Edson Tadeu Bez, Mirian Buss Gon
Page 58 and 59:
50 Edson Tadeu Bez, Mirian Buss Gon
Page 60 and 61:
52 Edson Tadeu Bez, Mirian Buss Gon
Page 62 and 63:
54 R. Blanquero, E. Carrizosa, E. C
Page 64 and 65:
56 R. Blanquero, E. Carrizosa, E. C
Page 66 and 67:
58 Sándor Bozókiwhere for any i,
Page 68 and 69:
60 Sándor Bozóki[6] Budescu, D.V.
Page 70 and 71:
62 Emilio Carrizosa, José Gordillo
Page 72 and 73:
64 Emilio Carrizosa, José Gordillo
Page 75 and 76:
Proceedings of GO 2005, pp. 67 - 69
Page 77:
Globally optimal prototypes 69Refer
Page 80 and 81:
72 Leocadio G. Casado, Eligius M.T.
Page 82 and 83:
874 Leocadio G. Casado, Eligius M.T
Page 84 and 85:
76 Leocadio G. Casado, Eligius M.T.
Page 86 and 87:
78 András Erik Csallner, Tibor Cse
Page 88 and 89:
80 András Erik Csallner, Tibor Cse
Page 90 and 91:
82 Tibor Csendes, Balázs Bánhelyi
Page 92 and 93:
84 Tibor Csendes, Balázs Bánhelyi
Page 94 and 95:
86 Bernd DachwaldFor spacecraft wit
Page 96 and 97:
88 Bernd Dachwaldcurrent target sta
Page 98 and 99:
90 Bernd Dachwaldreference launch d
Page 100 and 101:
92 Mirjam Dür and Chris TofallisMo
Page 102 and 103:
94 Mirjam Dür and Chris Tofallis2.
Page 104 and 105:
96 Mirjam Dür and Chris Tofallis[3
Page 106 and 107:
98 José Fernández and Boglárka T
Page 108 and 109:
100 José Fernández and Boglárka
Page 110 and 111:
102 José Fernández and Boglárka
Page 112 and 113:
104 Erika R. Frits, Ali Baharev, Zo
Page 114 and 115:
Page 116 and 117:
Page 118 and 119:
110 Juergen Garloff and Andrew P. S
Page 120 and 121:
112 Juergen Garloff and Andrew P. S
Page 123 and 124:
Page 125 and 126:
Global multiobjective optimization
Page 127 and 128:
Global multiobjective optimization
Page 129 and 130:
Page 131 and 132:
Conditions for ε-Pareto Solutions
Page 133:
Conditions for ε-Pareto Solutions
Page 136 and 137:
128 Eligius M.T. Hendrix1.1 Effecti
Page 138 and 139:
130 Eligius M.T. Hendrix4h(x)3.532.
Page 140 and 141:
132 Eligius M.T. Hendrixneighbourho
Page 142 and 143:
134 Kenneth Holmströmcomputed by R
Page 144 and 145:
136 Kenneth Holmströmα(x) =∑i=1
Page 146 and 147:
138 Kenneth HolmströmGL-step Phase
Page 148 and 149:
140 Kenneth Holmströmsurrogate mod
Page 150 and 151:
142 Dario Izzo and Mihály Csaba Ma
Page 152 and 153:
Page 154 and 155:
Page 156 and 157:
148 Leo Liberti and Milan DražićV
Page 158 and 159:
150 Leo Liberti and Milan Dražićs
Page 161 and 162:
Page 163 and 164:
Set-covering based p-center problem
Page 165 and 166:
Set-covering based p-center problem
Page 167 and 168:
Page 169 and 170:
On the Solution of Interplanetary T
Page 171 and 172:
On the Solution of Interplanetary T
Page 173 and 174:
Page 175 and 176:
Parametrical approach for studying
Page 177 and 178:
Parametrical approach for studying
Page 179 and 180:
Page 181 and 182:
An Interval Branch-and-Bound Algori
Page 183 and 184:
An Interval Branch-and-Bound Algori
Page 185 and 186:
Page 187 and 188:
A New approach to the Studyof the S
Page 189:
A New approach to the Studyof the S
Page 192 and 193:
184 Katharine M. Mullen, Mikas Veng
Page 194 and 195:
Page 196 and 197:
Page 198 and 199:
190 Niels J. Olieman and Eligius M.
Page 200 and 201:
Page 202 and 203:
Page 204 and 205:
196 Andrey V. Orlovwhere A is (m 1
Page 206 and 207:
198 Andrey V. OrlovStep 4. Beginnin
Page 208 and 209:
200 Blas Pelegrín, Pascual Fernán
Page 210 and 211:
Page 212 and 213:
Page 214 and 215:
Page 216 and 217:
208 Deolinda M. L. D. Rasteiro and
Page 218 and 219:
Page 220 and 221:
Page 222 and 223:
214 José-Oscar H. Sendín, Antonio
Page 224 and 225:
Page 226 and 227:
Page 228 and 229:
220 Ya. D. Sergeyev and D. E. Kvaso
Page 230 and 231:
Page 232 and 233:
Page 234 and 235:
226 J. Cole Smith, Fransisca Sudarg
Page 236 and 237:
Page 238 and 239:
Page 240 and 241:
232 Fazil O. Sonmezcost of a config
Page 242 and 243:
234 Fazil O. Sonmezhere f h is the
Page 244 and 245:
236 Fazil O. SonmezThe optimal shap
Page 246 and 247:
238 Alexander S. StrekalovskyDevelo
Page 249 and 250:
Page 251 and 252:
PSfrag replacementsPruning a box fr
Page 253 and 254:
Pruning a box from Baumann point in
Page 255 and 256:
Page 257 and 258:
A Hybrid Multi-Agent Collaborative
Page 259 and 260:
A Hybrid Multi-Agent Collaborative
Page 261 and 262:
Page 263:
Improved lower bounds for optimizat
Page 266 and 267:
258 Graham R. Wood, Duangdaw Sirisa
Page 268 and 269:
Page 270 and 271:
Page 272 and 273:
264 Yinfeng Xu and Wenqiang Daiopti
Page 274 and 275:
266 Yinfeng Xu and Wenqiang DaiThe
Page 277 and 278:
Author IndexAddis, BernardettaDipar
Page 279:
Author Index 271Nasuto, S.J.Departm
show all

View - Universidad de AlmerÃ­a

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

Delete template?

Save as template?

View - Universidad de AlmerÃa