Interfaces in Computer Science and Operations Research: Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies

by R. S. Barr (Editor), R.V. Helgason (Editor), Jeffrey L. Kennington (Editor)

Overview

The disciplines of computer science and operations research (OR) have been linked since their origins, each contributing to the dramatic advances of the other. This work explores the connections between these key technologies: how high-performance computing methods have led to advances in OR de­ ployment, and how OR has contributed to the design and development of ad­ vanced systems. The collected writings-from researchers and practitioners in Computer Science, Operations Research, Management Science, and Artificial Intelligence-were among those delivered at the Fifth INFORMS Computer Science Technical Section Conference in Dallas, Texas, January 8-10, 1996. The articles advance both theory and practice. Presented are new approaches to complex problems based on: metaheuristics (neural networks, genetic al­ gorithms, and Tabu Search), optimization and mathematical programming, shastic methods, constraint programming, and logical analysis. These ad­ vanced methodologies are applied to new applications in such areas as: telecommunications network design, financial engineering, manufacturing, project management, and forecasting, airline and machine scheduling, vehicle routing, mod­ eling and decision support systems. Featured is a remarkable paper by keynote speaker Fred Glover, creator of the Tabu Search family of metaheuristics. In it he develops the principles of memory-based heuristic methods, contrasts them with the popular genetic algorithms and simulated annealing, provides a sweeping survey of application vignettes, and points to promising avenues for future research.

Product Details

ISBN-13:	9780792398448
Publisher:	Springer US
Publication date:	12/31/1996
Series:	Operations Research/Computer Science Interfaces Series , #7
Edition description:	1997
Pages:	442
Product dimensions:	6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

I Metaheuristics.- 1 Tabu Search and Adaptive Memory Programming — Advances, Applications, and Challenges.- II Neural Networks.- 2 Neural Networks in Practice: Survey Results.- 3 Tractable Theories for the Synthesis of Neural Networks.- 4 Neural Network Training via Quadratic Programming.- 5 A Neural Network Model for Predicting Atlantic Hurricane Activity.- III Optimization.- 6 An Efficient Dual Simplex Optimizer for Generalized Networks.- 7 Solving Large Scale Crew Scheduling Problems.- IV Constraint and Logic Programming.- 8 Houria III: A Solver for Hierarchical Systems of Functional Constraints.- 9 Some Recent Developments of Using Logical Analysis for Inferring a Boolean Function with Few Clauses.- V Shastic Performance Analysis.- 10 Computational Analysis of A G/G/1 Queue with Vacations and Exhaustive Service.- 11 Stability and Queuing-Time Analysis of a Reader-Writer Queue with Writer Preference.- 12 Importance Sampling in Lattice Pricing Models.- VI Modeling And Decision Support.- 13 Data and Optimisation Modelling: A Tool for Elicitation And Browsing (Dome).- 14 Enhancing User Understanding via Model Analysis in a Decision Support System.- VII Applications In Manufacturing, Logistics, And Finance.- 15 Bank Failure Prediction Using Dea to Measure Management Quality.- 16 A Cooperative Multi-Agent Approach to Constrained Project Scheduling.- 17 Scheduling a Flow Shop to Minimize the Maximal Lateness Under Arbitrary Precedence Constraints.- 18 A Genetic Programming Approach for Heuristic Selection in Constrained Project Scheduling.- 19 Coupling A Greedy Route Construction Heuristic With A Genetic Algorithm For The Vehicle Routing Problem With Time Windows.

Editorial Reviews

Explores how high-performance computing methods have led to advances in operations research deployment, and how operations research has contributed in turn to the design and development of advanced computer systems. Describes new approaches to complex problems based on neural networks, genetic algorithms, mathematical programming, stochastic methods, constraint programming, and logical analysis. Also surveys applications of the methods to such areas as telecommunications network design, financial engineering, manufacturing, project management, forecasting, airline and machine scheduling, and vehicle routing. The 19 papers were among those presented at a conference in Dallas, Texas, in January 1996. No index. Annotation c. by Book News, Inc., Portland, Or.

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