Inhaltsangabe
Preface Part I. Advanced Models in Optimization Theory Multiobjective Programming Problems Under Generalized Convexity (Altannar Chinchuluun, Panos M. Pardalos) Towards Optimal Techniques for Solving Global Optimization Problems: Symmetry-Based Approach (Christodoulos A. Floudas, Vladik Kreinovich) Part II. Interval Algorithms Non-linear Global Optimization Using Interval Arithmetic and Constraint Propagation (Steffen Kjøller, Pavel Kozine, Kaj Madsen, Ole Stauning) Towards Optimal Compression of Meteorological Data: A Case Study of Using Interval-Motivated Overestimators in Global Optimization (Olga Kosheleva) An Interval Partitioning Approach for Continuous Constrained Optimization (Chandra Sekhar Pedamallu, Linet Özdamar, Tibor Csendes) A Survey of Methods for the Estimation Ranges of Functions Using Interval Arithmetic (Julius Žilinskas, Ian David Lockhart Bogle) Part III. Deterministic Optimization Models and Algorithms Pseudo-Boolean Optimization in Case of an Unconnected Feasible Set (Alexander Antamoshkin, Igor Masich) Univariate Algorithms for Solving Global Optimization Problems with Multiextremal Non-differentiable Constraints (Yaroslav D. Sergeyev, Falah M.H. Khalaf, Dmitri E. Kvasov) Packing up to 200 Equal Circles in a Square (Péter Gábor Szabó, Eckard Specht) Global Optimization of Network Length and Simulation of Film Evolution (Vydunas Šaltenis) Part IV. Stochastic Algorithms A Probabilistic Hybrid Differential Evolution Algorithm (Montaz M. Ali) Nonadaptive Univariate Optimization for Observations with Noise (James M. Calvin) Estimating the Minimal Value of a Function in Global Random Search: Comparison of Estimation Procedures(Emily Hamilton, Vippal Savani, Anatoly Zhigljavsky) Multi-particle Simulated Annealing (Orcun Molvalioglu, Zelda B. Zabinsky, Wolf Kohn) Part V. Educational Aspects On the Goodness of Global Optimisation Algorithms, an Introduction into Investigating Algorithms (Eligius M.T. Hendrix) Experimental Investigation of Distance Graduate Studies of the Open Source Environment by Models of Optimal Sequential Decisions and the Bayesian Approach (Jonas Mockus) Part VI. Applications The Problem of Visual Analysis of Multidimensional Medical Data (Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius, Viktor Medvedev) On Global Minimization in Mathematical Modelling of Engineering Applications (Raimondas Ciegis) A Two Step Hybrid Optimization Procedure for the Design of Optimal Water Distribution Networks (Eric S. Fraga, Lazaros G. Papageorgiou) Predictor-Based Self Tuning Control with Constraints (Vytautas Kaminskas) A Template-Based Mixed-Integer Linear Programming Sequence Alignment Model (Scott R. McAllister, Rohit Rajgaria, Christodoulos A. Floudas) Index
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The research of Antanas ilinskas has focused on developing models for global optimization, implementing and investigating the corresponding algorithms, and applying those algorithms to practical problems. This volume, dedicated to Professor ilinskas on the occasion of his 60th birthday, contains new survey papers in which leading researchers from the field present various models and algorithms for solving global optimization problems.
Audience
This book is intended for scientists and graduate students in computer science and applied mathematics who are interested in optimization algorithms and numerical analysis.
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