Models and Algorithms for Global Optimization

1. Front Matter

   Pages I-XVI

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2. Advanced Models in Optimization Theory

   1. Front Matter

      Pages 1-1

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   2. Multiobjective Programming Problems Under Generalized Convexity

      • Altannar Chinchuluun, Panos M. Pardalos

      Pages 3-20

   3. Towards Optimal Techniques for Solving Global Optimization Problems: Symmetry-Based Approach

      • Christodoulos A. Floudas, Vladik Kreinovich

      Pages 21-42

3. Interval Algorithms

   1. Front Matter

      Pages 43-43

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   2. Non-linear Global Optimization Using Interval Arithmetic and Constraint Propagation

      • Steffen Kjøller, Pavel Kozine, Kaj Madsen, Ole Stauning

      Pages 45-58

   3. Towards Optimal Compression of Meteorological Data: A Case Study of Using Interval-Motivated Overestimators in Global Optimization

      • Olga Kosheleva

      Pages 59-71

   4. An Interval Partitioning Approach for Continuous Constrained Optimization

      • Chandra Sekhar Pedamallu, Linet Özdamar, Tibor Csendes

      Pages 73-96

   5. A Survey of Methods for the Estimation Ranges of Functions Using Interval Arithmetic

      • Julius Žilinskas, Ian David Lockhart Bogle

      Pages 97-108

4. Deterministic Optimization Models and Algorithms

   1. Front Matter

      Pages 109-109

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   2. Pseudo-Boolean Optimization in Case of an Unconnected Feasible Set

      • Alexander Antamoshkin, Igor Masich

      Pages 111-122

   3. Univariate Algorithms for Solving Global Optimization Problems with Multiextremal Non-differentiable Constraints

      • Yaroslav D. Sergeyev, Falah M. H. Khalaf, Dmitri E. Kvasov

      Pages 123-140

   4. Packing up to 200 Equal Circles in a Square

      • Péter Gábor Szabó, Eckard Specht

      Pages 141-156

   5. Global Optimization of Network Length and Simulation of Film Evolution

      • Vydūnas Šaltenis

      Pages 157-170

5. Stochastic Algorithms

   1. Front Matter

      Pages 171-171

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   2. A Probabilistic Hybrid Differential Evolution Algorithm

      • Montaz M. Ali

      Pages 173-184

   3. Nonadaptive Univariate Optimization for Observations with Noise

      • James M. Calvin

      Pages 185-192

   4. Estimating the Minimal Value of a Function in Global Random Search: Comparison of Estimation Procedures

      • Emily Hamilton, Vippal Savani, Anatoly Zhigljavsky

      Pages 193-214

   5. Multi-particle Simulated Annealing

      • Orcun Molvalioglu, Zelda B. Zabinsky, Wolf Kohn

      Pages 215-222

6. Educational Aspects

   1. Front Matter

      Pages 223-223

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Antanas ~ilinskas was born on January 5, 1946 in Lithuania. He graduated with a gold medal from 2nd Kaunas Gymnasium in 1963 and with a distinction diploma of Electrical Engineering from Kaunas University of Technology in 1968. His Ph. D. studies (aspirantur) at Lithuanian Academy of Sciences lasted from 1970 to 1973. The Candidate of Sciences (Ph. D. ) degree in Technical - bernetics (1973) has been received from Kaunas University of Technology. The Doctor of Mathematical Sciences degree (Habilitation, 1985) has been received from St. Petersburg (Leningrad) University. The title Senior Research Fellow (1980) has been conferred by the Presidium of Academy of Sciences, and the title Professor (1989) by Vilnius Pedagogical University. He has been awarded (with V. saltenis and G. Dzemyda) Lithuanian National Award for scientific achievements of 2001 for the research on "Efficient optimization methods and their applications". A. ~ilinskas joined the Institute of Mathematics and Informatics in 1973 starting with a position of junior research associate, worked as a senior - search associate reaching the highest rank of principal researcher which is his main position now. Apart from working in the research institute he was a lecturer at Vilnius Pedagogical University 1986-1988, where he founded a - partment of Informatics in 1988 and held a position of professor and head of this department 1988-1993. He worked later as a professor of this department until 2000.

• Deterministic optimization
• Interval algorithms
• Optimization theory
• SOIA
• Stochastic optimization
• algorithms
• global optimization
• linear optimization
• optimization

From the reviews:

"This volume is a collection of 21 essays that are dedicated to Antanas Žilinskas on the occasion of his 60th birthday. … All 21 chapters of the collection are excellent contributions from leaders in global optimization. … Graduate students and researchers in global optimization will enjoy reading this book and learning about much of the active research in this fast developing field." (Nikolaos V. Sahinidis, Interfaces, Vol. 38 (2), 2008)

• Åbo Akademi University, Åbo, Finland

  Aimo Törn

• Institute of Mathematics and Informatics, Vilnius, Lithuania

  Julius Žilinskas

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