Frontiers in Global Optimization

Table of Contents

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   Book Overview
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   Chapter 1 A Deterministic Global Optimization Algorithm for Problems with Nonlinear Dynamics
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   Chapter 2 Exact solution of three nonconvex quadratic programming problems
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   Chapter 3 Global Optimization of Bioprocesses using Stochastic and Hybrid Methods
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   Chapter 4 Computational Experiments with an Adaptive Genetic Algorithm for Global Minimization of Potential Energy Functions
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   Chapter 5 A New Approach in Deterministic Global Optimisation of Problems with Ordinary Differential Equations
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   Chapter 6 Global Optimization of Homogeneous Polynomials on the Simplex and on the Sphere
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   Chapter 7 Exact parallel algorithms for the location depth and the maximum feasible subsystem problems
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   Chapter 8 An Improved Method for the Computation of Affine Lower Bound Functions for Polynomials
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    Chapter 9 Implementation and Testing of a Branch-and-Bound Based Method for Deterministic Global Optimization: Operations Research Applications
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    Chapter 10 MINLP Optimization Using Simplicial Approximation Method for Classes of Non-Convex Problems
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    Chapter 11 A General Framework for Constructing Cooperative Global Optimization Algorithms
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    Chapter 12 Constrained Global Optimization: Adaptive Gradient Flows
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    Chapter 13 Exact Computation of Global Minima of a Nonconvex Portfolio Optimization Problem
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    Chapter 14 Global Reliability-Based Design Optimization
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    Chapter 15 Reducing the Cost of Evaluation of the Gradient and Hessian of Molecular Potential Energy Functions
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    Chapter 16 Global Dynamic Optimization of Linear Hybrid Systems
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    Chapter 17 AMIGO: Advanced Multidimensional Interval analysis Global Optimization algorithm
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    Chapter 18 Trilinear Monomials with Positive or Negative Domains: Facets of the Convex and Concave Envelopes
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    Chapter 19 Analysis of Non Convex Polynomial Programs by the Method of Moments
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    Chapter 20 The Steiner Ratio and the Homochirality of Biomacromolecular Structures
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    Chapter 21 A Multi Dimensional Assignment Formulation for New Product Development Problems
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    Chapter 22 Quasiconvexity, Fractional Programming and Extremal Traffic Congestion
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    Chapter 23 Optimal Solution of Integer Multicommodity Flow Problems With Application in Optical Networks
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    Chapter 24 Pre-search Screening: A Technique to Improve Search Efficiency in Global Optimization
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    Chapter 25 Global Optimization of Bilevel Programming Problems via Parametric Programming
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    Chapter 26 Global Solution of Optimization Problems with Dynamic Systems Embedded
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    Chapter 27 A multi-start methodology for constrained global optimization using novel constrained local optimizers
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    Chapter 28 Representation and numerical determination of the global optimizer of a continuous function on a bounded domain
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    Chapter 29 Global Optimization under nonlinear restrictions by using stochastic perturbations of the projected gradient
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    Chapter 30 On the existence of polyhedral convex envelopes
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    Chapter 31 Optimal Selection of the Regression Kernel Matrix with Semidefinite Programming
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    Chapter 32 Termination Criteria in the Moore-Skelboe Algorithm for Global Optimization by Interval Arithmetic