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viContentsEmilio Carrizosa, José Gordillo, and Dolores R. Santos-PeñateLocating Competitive Facilities via a VNS Algorithm 61E. Carrizosa, B. Martín-Barragán, F. Plastria, and D. Romero-MoralesGlobally optimal prototypes in kNN classification methods 67Leocadio G. Casado, Eligius M.T. Hendrix, and Inmaculada GarcíaBranch-and-Bound for the semi-continous quadratic mixture design problem (SCQMDP) 71András Erik Csallner, Tibor Csendes, and András Balázs KocsisReliable Optimization in Civil Engineering — Structural and Numerical Optimization of CivilEngineering Problems 77Tibor Csendes, Balázs Bánhelyi, and Barnabás GarayA global optimization model for locating chaos 81Bernd DachwaldGlobal Optimization of Low-Thrust Space Missions Using Evolutionary Neurocontrol 85Mirjam Dür and Chris TofallisNeutral Data Fitting from an Optimisation Viewpoint 91José Fernández and Boglárka TóthConstraint-like methods for obtaining an outer approximation of the efficient set of nonlinearbiobjective optimization problems 97Erika R. Frits, Ali Baharev, Zoltán Lelkes, Mihály Markót, Zsolt Fonyó, Endre Rév, and Tibor CsendesApplication of interval arithmetics for exploring feasibility of extractive distillation variants 103Juergen Garloff and Andrew P. SmithRigorous Affine Lower Bound Functions for Multivariate Polynomials and Their Use in GlobalOptimisation 109C. Gil, R. Baños, M. G. Montoya, A. Márquez, and J. OrtegaGlobal multiobjective optimization using evolutionary methods: An experimental analysis 115C. Gutiérrez, B. Jiménez, and V. NovoConditions for ε-Pareto Solutions in Multiobjective Optimization 121Eligius M.T. HendrixOn the goodness of Global Optimisation Algorithms 127Kenneth HolmströmAn Adaptive Radial Basis Algorithm (ARBF) for Mixed-Integer Expensive Constrained GlobalOptimization 133Dario Izzo and Mihály Csaba MarkótA Distributed Global Optimisation Environment for the European Space Agency Internal Network141Leo Liberti and Milan DražićVariable Neighbourhood Search for the Global Optimization of Constrained NLPs 147
ContentsviiFuh-Hwa Franklin Liu, Chi-Wei ShihObtaining the globe optimization of set-covering based p-center problems 153Pierluigi Di Lizia, Gianmarco Radice, and Massimiliano VasileOn the Solution of Interplanetary Trajectory Design Problems by Global Optimisation Methods 159Dmitrii LozovanuParametrical approach for studying and solving bilinear programming problem 165Frédéric Messine and Ahmed TouhamiAn Interval Branch-and-Bound Algorithm based on the General Quadratic Form 171R. P. Mondaini and N. V. OliveiraA New approach to the Study of the Smith + Smith Conjecture 177Katharine M. Mullen, Mikas Vengris, and Ivo H.M. van StokkumFitting separable nonlinear spectrotemporal models 183Niels J. Olieman and Eligius M.T. HendrixGlobal Optimisation Challenges in Robustness Programming Bounding Methods 189Andrey V. OrlovOn solving of bilinear programming problems 195Blas Pelegrín, Pascual Fernández, Juani L. Redondo, Pilar M. Ortigosa, and I. GarcíaGASUB: A genetic-like algorithm for discrete location problems 199Deolinda M. L. D. Rasteiro and António J. B. AnjoDynamic Stochastic Optimal Path 207José-Oscar H. Sendín, Antonio A. Alonso, and Julio R. BangaA Multi-Objective Evolution Strategy for the Optimization of Nonlinear Dynamic Systems 213Ya. D. Sergeyev and D. E. KvasovDiagonal global search based on a set of possible Lipschitz constants 219J. Cole Smith, Fransisca Sudargho, and Churlzu LimSurvivable Network Design under Various Interdiction Scenarios 225Fazil O. SonmezPrecision and Accuracy in Generating Globally Optimum Shapes 231Alexander S. StrekalovskyNew approach to nonconvex constrained optimization 237Boglárka Tóth and L.G. CasadoPruning a box from Baumann point in an Interval Global Optimization Algorithm 241Massimiliano VasileA Hybrid Multi-Agent Collaborative Search Applied to the Solution of Space Mission DesignProblems 247Tamás Vinkó and Arnold NeumaierImproved lower bounds for optimization problems related to atom clusters 253
Page 1: PROCEEDINGS OF THEINTERNATIONAL WOR
Page 5: ContentsPrefaceiiiPlenary TalksYaro
Page 9: PLENARY TALKS
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:
Page 60 and 61:
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
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