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

Author:   R. S. Barr ,  R.V. Helgason ,  Jeffrey L. Kennington
Publisher:   Springer
Edition:   1997 ed.
Volume:   7
ISBN:  

9780792398448


Pages:   442
Publication Date:   31 December 1996
Format:   Hardback
Availability:   In Print   Availability explained
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Interfaces in Computer Science and Operations Research: Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies


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Overview

The disciplines of computer science and operations research have been linked since their origins and each have contributed to the advances of the other. This volume examines some of the recent advances resulting from the confluence between these two technical communities. In the process the book brings together the work of academic researchers and practitioners in computer science, operations research, management science, artificial intelligence, neural networks, and related fields. More specifically, it explores the connections between these two areas with an array of advances in metaheuristics, neural networks, optimization, stochastic analysis, constraint logic programming, and decision support modeling. The book's principal theme centers on the shared modelling technologies of computer science and operations research and applies these methodologies to a variety of applications in manufacturing, logistics, finance, and telecommunications.

Full Product Details

Author:   R. S. Barr ,  R.V. Helgason ,  Jeffrey L. Kennington
Publisher:   Springer
Imprint:   Springer
Edition:   1997 ed.
Volume:   7
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   1.810kg
ISBN:  

9780792398448


ISBN 10:   0792398440
Pages:   442
Publication Date:   31 December 1996
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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 Stochastic 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.

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