Description
This book will present the papers delivered at the first U.S. conference devoted exclusively to global optimization and will thus provide valuable insights into the significant research on the topic that has been emerging during recent years. Held at Princeton University in May 1991, the conference brought together an interdisciplinary group of the most active developers of algorithms for global optimization in order to focus the attention of the mathematical programming community on the unsolved problems and diverse applications of this field. The main subjects addressed at the conference were advances in deterministic and stochastic methods for global optimization, parallel algorithms for global optimization problems, and applications of global optimization. Although global optimization is primarily a mathematical problem, it is relevant to several other disciplines, including computer science, applied mathematics, physical chemistry, molecular biology, statistics, physics, engineering, operations research, communication theory, and economics. Global optimization problems originate from a wide variety of mathematical models of real-world systems. Some of its applications are allocation and location problems and VLSI and data-base design problems.
Originally published in 1991.
The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton Univers
Chapter
Preface, Christodoulos A. Floudas & Panos M.
Pardalos
On Approximation Algorithms for Concave Quadratc Programming, Stephen A.
Vavasis
A New Complexity Result on Minimization of a Quadratic Function with a Sphere Constraint, Yinyu Ye
Hamiltonian Cycles, Quadratc Programming, and Ranking of Extreme Points, Ming Chen & Jerzy A. Filar
Performance of Local Search in Minimum Concave-Cost Network Flow Problems, G. M. Guisewite & P. M. Pardalos
Solution of the Concave Linear Complementarity Problem, Joaquim J. Júdice & Ana
M. Faustino
Global Solvability of Generalized Linear Complementarity Problems and a Related Class of Polynomial Complementarity Problems, Aniekan A. Ebiefiing & Michael M. Kostreva
A Continuous Approach to Compute Upper Bounds in Quadratc Maximization Problems with Integer Constraints, A. Kamath & N. Karmarkar
A Class of Global Optimization Problems Solvable by Sequential Unconstrained Convex Minimizaton, Hoang Tuy & Faiz A. Al-Khayyal
A New Cutting Plane Algorithm for a Class of Reverse Convex 0-1 Integer Programs, Sihem Bensaad
Global Optimization of Problems with Polynomial Functions in One Variable, V. Visweswaran & C. A. Floudas
One Dimensional Global Optimization Using Linear Lower Bounds, Matthew Bromberg & Tsu-Shuan Chang
Optimizing the Sum of Linear Fractional Functions, James E. Falk & Susan W. Palocsay
Minimizing and Maximizing the Product of Linear Fractional Functions, Hiroshi Konno & Yasutoshi Yajima
Numerical Methods for Global Optimization, Yu. G. Evtushenko, Μ. A. Potapov, & V. V. Korotkich
Integral Global Optimization of Constrained Problems in Functional Spaces with Discontinuous Penalty Functions, Quan Zheng & Deming Zhuang
Rigorous Methods for Global Optimization, Ramon Moore, Eldon Hansen, & Anthony Leclerc
Global Optimization of Composite Laminates Using Improving Hit and Run, Zelda B. Zabinsky, Douglas L. Graesser, Mark E. Tuttle, & Gun-In Kim
Stochastic Minimization of Lipschtiz Functions, Regina Hunter Mladineo
Topographical Global Optimization, Aimo Törn &
Sami Viitanen
Lipschitzian Global Optimization: Some Prospective Applications, János Pintér
Packet Annealing: A Deterministic Method for Global Minimization. Application to Molecular Conformation, David Shalloway
Mixed-Integer Linear Programming Reformulatons for Some Nonlinear Discrete Design Oftimization Problems, I. E. Grossmann, V. T. Voudouris, & 0. Ghattas
Mixed-Integer Nonlinear Programming on Generalized Networks, Soren S. Nielsen & Stavros A. Zenios
Global Minima in Root Finding, Angelo Lucia & Jinxian Xu
Homotopy-Continuation Algorithm for Global Optimization, Amy C. Sun & Warren D. Seider
Space-Covering Approach and Modified Frank-Wolfe Algorithm for Optimal Nuclear Reactor Reload Design, Zhian Li, P. Μ. Pardalos, & S. H. Levine
A Global Optimizaton Approach to Software Testing, Roberto Barbagallo, Maria Cristina Recchioni, & Francesco Zirilli