Models and algorithms for global optimization essays dedicated to Antanas Žilinskas on the occasion of his 60th birthday /
The research of Antanas Zilinskas has focused on developing models for global optimization and applying the corresponding algorithms to practical problems. This book contains survey papers in which leading researchers from the field present various models and algorithms for solving global optimizati...
| Other Authors: | Zhilinskas, A., Törn, Aimo., Žilinskas, J. 1973-, SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
New York :
Springer,
©2007.
New York : [2007] |
| Physical Description: |
1 online resource (1 volume). |
| Series: |
Springer optimization and its applications ;
v. 4. |
| Subjects: |
Table of Contents:
- Front Matter; Multiobjective Programming Problems Under Generalized Convexity; Towards Optimal Techniques for Solving Global Optimization Problems: Symmetry-Based Approach; 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.
- Pseudo-Boolean Optimization in Case of an Unconnected Feasible SetUnivariate 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; 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.
- On the Goodness of Global Optimisation Algorithms, an Introduction into Investigating AlgorithmsExperimental Investigation of Distance Graduate Studies of the Open Source Environment by Models of Optimal Sequential Decisions and the Bayesian Approach; 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.