Amazon cover image
Image from Amazon.com
Image from Google Jackets
Image from OpenLibrary

Ordinal optimization : soft optimization for hard problems / Yu-Chi Ho, Qian-Chuan Zhao, Qing-Shan Jia.

By: Contributor(s): Material type: TextTextPublication details: New York : Springer, c2007.Description: xiv, 317 p. : illISBN:
  • 9780387372327 (hbk. : alk. paper)
  • 0387372326 (hbk. : alk. paper)
  • 978038768629 (eISBN)
Subject(s): DDC classification:
  • 519.6 22 HOY
Other classification:
  • 31.80
  • SK 620
  • SK 640
  • ST 340
Online resources:
Contents:
I. Introduction -- II. Ordinal Optimization Fundamentals -- 1. Two basic ideas of Ordinal Optimization (OO) -- 2. Definitions, terminologies, and concepts for OO -- 3. A simple demonstration of OO -- 4. The exponential convergence of order and goal softening -- 5. Universal alignment probabilities -- 6. Deterministic complex optimization problem and Kolmogorov equivalence -- 7. Example applications -- 8. Preview of remaining chapters -- III. Comparison of Selection Rules -- 1. Classification of selection rules -- 2. Quantify the efficiency of selection rules -- 3. Examples of search reduction -- 4. Some properties of good selection rules -- 5. Conclusion -- IV. Vector Ordinal Optimization -- 1. Definitions, terminologies, and concepts for VOO -- 2. Universal alignment probability -- 3. Exponential convergence w.r.t. order -- 4. Examples of search reduction -- V. Constrained Ordinal Optimization -- 1. Determination of selected set in COO -- 2. Example: Optimization with an imperfect feasibility model -- 3. Conclusion -- VI. Memory Limited Strategy Optimization -- 1. Motivation (the need to find good enough and simple strategies) -- 2. Good enough simple strategy search based on OO -- 3. Conclusion -- VII. Additional Extensions of the OO Methodology -- 1. Extremely large design space -- 2. Parallel implementation of OO -- 3. Effect of correlated observation noises -- 4. Optimal Computing Budget Allocation and Nested Partition -- 5. Performance order vs. performance value -- 6. Combination with other optimization algorithms -- VIII. Real World Application Examples -- 1. Scheduling problem for apparel manufacturing -- 2. The turbine blade manufacturing process optimization problem -- 3. Performance optimization for a remanufacturing system -- 4. Witsenhausen problem -- App. A. Fundamentals of Simulation and Performance Evaluation
App. B. Introduction to Stochastic Processes and Generalized Semi-Markov Processes as Models for Discrete Event Dynamic Systems and Simulations -- App. C. Universal Alignment Tables for the Selection Rules in Chapter III -- App. D. Exercises.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Home library Collection Call number Status Date due Barcode
Book Book Dept. of Futures Studies General Stacks Dept. of Futures Studies Non-fiction 519.6 HOY (Browse shelf(Opens below)) Available DFS4476

Includes bibliographical references (p. [305]-313) and index.

I. Introduction -- II. Ordinal Optimization Fundamentals -- 1. Two basic ideas of Ordinal Optimization (OO) -- 2. Definitions, terminologies, and concepts for OO -- 3. A simple demonstration of OO -- 4. The exponential convergence of order and goal softening -- 5. Universal alignment probabilities -- 6. Deterministic complex optimization problem and Kolmogorov equivalence -- 7. Example applications -- 8. Preview of remaining chapters -- III. Comparison of Selection Rules -- 1. Classification of selection rules -- 2. Quantify the efficiency of selection rules -- 3. Examples of search reduction -- 4. Some properties of good selection rules -- 5. Conclusion -- IV. Vector Ordinal Optimization -- 1. Definitions, terminologies, and concepts for VOO -- 2. Universal alignment probability -- 3. Exponential convergence w.r.t. order -- 4. Examples of search reduction -- V. Constrained Ordinal Optimization -- 1. Determination of selected set in COO -- 2. Example: Optimization with an imperfect feasibility model -- 3. Conclusion -- VI. Memory Limited Strategy Optimization -- 1. Motivation (the need to find good enough and simple strategies) -- 2. Good enough simple strategy search based on OO -- 3. Conclusion -- VII. Additional Extensions of the OO Methodology -- 1. Extremely large design space -- 2. Parallel implementation of OO -- 3. Effect of correlated observation noises -- 4. Optimal Computing Budget Allocation and Nested Partition -- 5. Performance order vs. performance value -- 6. Combination with other optimization algorithms -- VIII. Real World Application Examples -- 1. Scheduling problem for apparel manufacturing -- 2. The turbine blade manufacturing process optimization problem -- 3. Performance optimization for a remanufacturing system -- 4. Witsenhausen problem -- App. A. Fundamentals of Simulation and Performance Evaluation

App. B. Introduction to Stochastic Processes and Generalized Semi-Markov Processes as Models for Discrete Event Dynamic Systems and Simulations -- App. C. Universal Alignment Tables for the Selection Rules in Chapter III -- App. D. Exercises.

There are no comments on this title.

to post a comment.