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. Language: English