Engineering Optimization: An Introduction with Metaheuristic Applications - Image 1

£107.59

Wiley Engineering Optimization: An Introduction with Metaheuristic Applications

Name: Engineering Optimization: An Introduction with Metaheuristic Applications
Brand: Wiley
Price: 107.59 GBP
Availability: InStock

Industrial Design

This is the most expensive it has ever been. Walk away.

£108 today · previous high £108 · all-time low £94

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 129 days • 129 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 129 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £108 (121 days, 93.8%)

Price range: £94 - £108

Price levels: 3 different prices over 129 days

Description

An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.

Key Features

New

Mint Condition

Dispatch same day for order received before 12 noon

Guaranteed packaging

No quibbles returns

Product Specifications

Brand: Wiley
Format: hardcover
ASIN: 0470582464
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Engineering Skills & Design > Industrial Design
Domain: Amazon UK
Release Date: 20 July 2010
Listed Since: 03 August 2009

Barcode

No barcode data available

Wiley Engineering Optimization: An Introduction with Metaheuristic Applications

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Advances in Metaheuristics: Applications in Engineering Systems

Advances in Metaheuristics: Applications in Engineering Systems

Engineering Optimization: Theory and Practice

Metaheuristic and Evolutionary Computation: Algorithms and Applications: 916 (Studies in Computational Intelligence, 916)

Hybrid Metaheuristics: 434 (Studies in Computational Intelligence, 434)

Metaheuristics: From Design to Implementation

Recent Metaheuristics Algorithms for Parameter Identification: 854 (Studies in Computational Intelligence, 854)

Evolutionary Global Optimization, Manifolds and Applications: 43 (Studies in Systems, Decision and Control, 43)

Recent Metaheuristics Algorithms for Parameter Identification: 854 (Studies in Computational Intelligence, 854)

Metaheuristic Computation with MATLAB®

Metaheuristic Algorithms in Industry 4.0 (Advances in Metaheuristics)

Springer Recent Metaheuristic Computation Schemes in Engineering

Springer Intelligent Computational Optimization in Engineering

Advanced Techniques for Modifying Metaheuristics - Morgan Kaufmann

Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2017: 795 (Studies in Computational Intelligence, 795)

NEO 2016: Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in ... (Studies in Computational Intelligence, 731)

Comprehensive Metaheuristics: Algorithms and Applications

Handbook of AI-based Metaheuristics (Advances in Metaheuristics)

Heuristics for Optimization and Learning: 906 (Studies in Computational Intelligence, 906)

AI and SWARM: Evolutionary Approach to Emergent Intelligence

NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico: 663 (Studies in Computational Intelligence, 663)

Computational Optimization and Applications in Engineering and Industry: 359 (Studies in Computational Intelligence, 359)

Computational Optimization and Applications in Engineering and Industry: 359 (Studies in Computational Intelligence, 359)

Optimization: Algorithms and Applications