Advanced Models in Optimization Theory -- Multiobjective Programming Problems Under Generalized Convexity -- Towards Optimal Techniques for Solving Global Optimization Problems: Symmetry-Based Approach -- Interval Algorithms -- Non-linear Global Optimization Using Interval Arithmetic and Constraint Propagation -- Towards Optimal Compression of Meteorological Data: A Case Study of Using Interval-Motivated Overestimators in Global Optimization -- An Interval Partitioning Approach for Continuous Constrained Optimization -- A Survey of Methods for the Estimation Ranges of Functions Using Interval Arithmetic -- Deterministic Optimization Models and Algorithms -- Pseudo-Boolean Optimization in Case of an Unconnected Feasible Set -- Univariate Algorithms for Solving Global Optimization Problems with Multiextremal Non-differentiable Constraints -- Packing up to 200 Equal Circles in a Square -- Global Optimization of Network Length and Simulation of Film Evolution -- Stochastic Algorithms -- A Probabilistic Hybrid Differential Evolution Algorithm -- Nonadaptive Univariate Optimization for Observations with Noise -- Estimating the Minimal Value of a Function in Global Random Search: Comparison of Estimation Procedures -- Multi-particle Simulated Annealing -- Educational Aspects -- On the Goodness of Global Optimisation Algorithms, an Introduction into Investigating Algorithms -- Experimental Investigation of Distance Graduate Studies of the Open Source Environment by Models of Optimal Sequential Decisions and the Bayesian Approach -- Applications -- The Problem of Visual Analysis of Multidimensional Medical Data -- On Global Minimization in Mathematical Modelling of Engineering Applications -- A Two Step Hybrid Optimization Procedure for the Design of Optimal Water Distribution Networks -- Predictor-Based Self Tuning Control with Constraints -- A Template-Based Mixed-Integer Linear Programming Sequence Alignment Model.

The research of Antanas Žilinskas 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 Žilinskas 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.