Models and Algorithms for Global Optimization

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.