Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms

Toward a New Generation of Evolutionary Algorithms

By: Martin Pelikan

Write A Review

Hardcover | 1 March 2005

At a Glance

Hardcover
188 Pages

Dimensions(cm)
23.5 x 15.88 x 1.27

Hardcover

$84.99

or 4 interest-free payments of $21.25 with

Ships in 5 to 7 business days

This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Mathematics Optimisation Applied Mathematics Computing & I.T.Computer Programming & Software Development Algorithms & Data Structures Computer Science Artificial Intelligence Engineering & Technology Technology in General Engineering in General

Toward a New Generation of Evolutionary Algorithms
From Genetic Variation to Probabilistic Modeling
Probabilistic Model-Building Genetic Algorithms
Bayesian Optimization Algorithm
Scalability Analysis
The Challenge of Hierarchical Difficulty
Hierarchical Bayesian Optimization Algorithm
Hierarchical BOA in the Real World
Table of Contents provided by Publisher. All Rights Reserved.

Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms

Toward a New Generation of Evolutionary Algorithms

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Algorithms & Data Structures

Addiction by Design

Machine Gambling in Las Vegas

Data Science and Machine Learning for Non-Programmers

Using SAS Enterprise Miner

The Man Who Solved the Market

How Jim Simons Launched the Quant Revolution SHORTLISTED FOR THE FT & MCKINSEY BUSINESS BOOK OF THE YEAR AWARD 2019

Heuristic Algorithms Design

A Methodological Approach

Artificial Intelligence Programming with Python

From Zero to Hero

Introduction to Machine Learning with Python

A Guide for Data Scientists

Python for Algorithmic Trading

From Idea to Cloud Deployment

Learning Spark

Lightning-Fast Data Analytics

Code Dependent

Living in the Shadow of AI - Shortlisted for the Women's Prize for Non-Fiction

New Storytelling

Learning through Metaphors

Uncertain Data Analysis

Fuzzy Vector Algorithms

Uncertain Data Analysis

Fuzzy Vector Algorithms

Ethics and Governance of Artificial Intelligence

Frameworks, Risks, and Society

Ethics and Governance of Artificial Intelligence

Frameworks, Risks, and Society

Computer Science Why

Answers to Computer Science Questions They Don't Cover in Class

Computer Science Why

Answers to Computer Science Questions They Don't Cover in Class

Applied Data Science in FinTech

Models, Tools, and Case Studies

Applied Data Science in FinTech

Models, Tools, and Case Studies

Bioengineering and IoT

Shaping the Future of Healthcare

Tiny Machine Learning Techniques for Constrained Devices

BioMed Bots Assurance

Securing Robotics, Healthcare, and IT Convergence

Measurements and Instrumentation for Machine Vision

Fundamentals of Data Structures and Algorithms

Diversity-Driven Evolutionary Algorithms For Solving Engineering Problems

This product is categorised by