Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications: 17 (Nonconvex Optimization and Its Applications, 17) - Image 1

Price loading...

Springer Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications: 17 (Nonconvex Optimization and Its Applications, 17)

Name: Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications: 17 (Nonconvex Optimization and Its Applications, 17)
Brand: Springer

Engineering Physics

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Bayesian decision theory is known to provide an effective framework for the practical solution of discrete and nonconvex optimization problems. This book is the first to demonstrate that this framework is also well suited for the exploitation of heuristic methods in the solution of such problems, especially those of large scale for which exact optimization approaches can be prohibitively costly. The book covers all aspects ranging from the formal presentation of the Bayesian Approach, to its extension to the Bayesian Heuristic Strategy, and its utilization within the informal, interactive Dynamic Visualization strategy. The developed framework is applied in forecasting, in neural network optimization, and in a large number of discrete and continuous optimization problems. Specific application areas which are discussed include scheduling and visualization problems in chemical engineering, manufacturing process control, and epidemiology. Computational results and comparisons with a broad range of test examples are presented. The software required for implementation of the Bayesian Heuristic Approach is included. Although some knowledge of mathematical statistics is necessary in order to fathom the theoretical aspects of the development, no specialized mathematical knowledge is required to understand the application of the approach or to utilize the software which is provided. Audience: The book is of interest to both researchers in operations research, systems engineering, and optimization methods, as well as applications specialists concerned with the solution of large scale discrete and/or nonconvex optimization problems in a broad range of engineering and technological fields. It may be used as supplementary material for graduate level courses.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1441947671
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Engineering Physics
Domain: Amazon UK
Release Date: 07 December 2010
Listed Since: 06 July 2010

Barcode

No barcode data available

Springer Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications: 17 (Nonconvex Optimization and Its Applications, 17)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications: 17 (Nonconvex Optimization and Its Applications, 17)

Academic Press Multi-Objective Combinatorial Optimization Book

Bayesian and High-Dimensional Global Optimization (SpringerBriefs in Optimization)

Decision Science in Action: Theory and Applications of Modern Decision Analytic Optimisation (Asset Analytics)

Springer Intelligent Computational Optimization in Engineering

Optimization―Theory and Applications: Problems with Ordinary Differential Equations: 17 (Stochastic Modelling and Applied Probability, 17)

Practical Optimization Methods : With Mathematical Applications

Modern Music-Inspired Optimization Algorithms for Electric Power Systems: Modeling, Analysis and Practice

Modern Music-Inspired Optimization Algorithms for Electric Power Systems: Modeling, Analysis and Practice

Machine Learning: A Bayesian and Optimization Perspective

Bayesian Inference: Observations and Applications (Mathematics Research Developments)

Bayesian Nonparametric Data Analysis (Springer Series in Statistics)

Convex Analysis and Global Optimization: 110 (Springer Optimization and Its Applications, 110)

Maximum Entropy and Bayesian Methods: Proceedings of the Fifteenth International Workshop, Santa Fe, New Mexico, USA, 1995: v. 79 (Fundamental Theories of Physics)

Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering

An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)

Numerical Nonsmooth Optimization: State of the Art Algorithms

Comprehensive Metaheuristics: Algorithms and Applications

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling: 236 (International Series in Operations Research & Management Science, 236)

Engineering Optimization: Applications, Methods and Analysis (Wiley-ASME Press Series)

Deterministic Global Optimization: Theory, Methods and Applications: 37 (Nonconvex Optimization and Its Applications, 37)

Exact and Heuristic Methods in Combinatorial Optimization: A Study on the Linear Ordering and the Maximum Diversity Problem: 175 (Applied Mathematical Sciences, 175)

Exact and Heuristic Methods in Combinatorial Optimization: A Study on the Linear Ordering and the Maximum Diversity Problem: 175 (Applied Mathematical Sciences, 175)

Global Optimization in Engineering Design: 9 (Nonconvex Optimization and Its Applications, 9)