State of the Art in Global Optimization

Table of Contents

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   Book Overview
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   Chapter 1 Lagrange Duality in Partly Convex Programming
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   Chapter 2 Global Optimization Using Hyperbolic Cross Points
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   Chapter 3 Global Minimization of Separable Concave Functions under Linear Constraints with Totally Unimodular Matrices
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   Chapter 4 On Existence of Robust Minimizers
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   Chapter 5 A Branch and Bound Algorithm for the Quadratic Assignment Problem using a Lower Bound Based on Linear Programming
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   Chapter 6 Dynamic Matrix Factorization Methods for Using Formulations Derived From Higher Order Lifting Techniques in the Solution of the Quadratic Assignment Problem
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   Chapter 7 Conical Coercivity Conditions and Global Minimization on Cones. An Existence Result
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   Chapter 8 The Use of Ordinary Differential Equations in Quadratic Maximization with Integer Constraints
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    Chapter 9 Adaptive Control via Non-Convex Optimization
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    Chapter 10 A Decomposition-Based Global Optimization Approach for Solving Bilevel Linear and Quadratic Programs
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    Chapter 11 Generalized TRUST Algorithms for Global Optimization
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    Chapter 12 Test Results for an Interval Branch and Bound Algorithm for Equality-Constrained Optimization
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    Chapter 13 Equivalent Methods for Global Optimization
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    Chapter 14 A C++ Class Library for Interval Arithmetic in Global Optimization
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    Chapter 15 On the Convergence of Localisation Search
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    Chapter 16 Stochastic Approximation with Smoothing for Optimization of an Adaptive Recursive Filter
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    Chapter 17 The Grouping Genetic Algorithm
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    Chapter 18 Accelerating Convergence of Branch-and-Bound Algorithms For Quadratically Constrained Optimization Problems
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    Chapter 19 Distributed Decomposition-Based Approaches in Global Optimization
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    Chapter 20 A Finite Algorithm for Global Minimization of Separable Concave Programs
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    Chapter 21 A Pseudo ∈-Approximate Algorithm For Feedback Vertex Set
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    Chapter 22 Iterative Topographical Global Optimization
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    Chapter 23 Global Optimization for the Chemical and Phase Equilibrium Problem using Interval Analysis
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    Chapter 24 Nonconvex Global Optimization of the Separable Resource Allocation Problem with Continuous Variables
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    Chapter 25 A D.C. Approach to the Largest Empty Sphere Problem in Higher Dimension
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    Chapter 26 A General D.C. Approach to Location Problems
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    Chapter 27 Global Optimization by Parallel Constrained Biased Random Search
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    Chapter 28 Global Optimization Problems in Computer Vision
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    Chapter 29 An Application of Optimization to the Problem of Climate Change
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    Chapter 30 Dynamic Visualization in Modelling and Optimization of Ill Defined Problems
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    Chapter 31 A New Global Optimization Algorithm for Batch Process Scheduling
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    Chapter 32 Nonconvexity and Descent in Nonlinear Programming
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    Chapter 33 Global Optimization of Chemical Processes using Stochastic Algorithms
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    Chapter 34 Logic-Based Outer-Approximation and Benders Decomposition Algorithms for the Synthesis of Process Networks
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    Chapter 35 Combinatorially Accelerated Branch-and-Bound Method for Solving the MIP Model of Process Network Synthesis
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    Chapter 36 Discrete Optimization using String Encodings for the Synthesis of Complete Chemical Processes