Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design: Applications to Aeronautics and UAV Design: 75 (Intelligent ... and Automation: Science and Engineering, 75) - Image 1

£70.27

Springer Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design: Applications to Aeronautics and UAV Design: 75 (Intelligent ... and Automation: Science and Engineering, 75)

Name: Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design: Applications to Aeronautics and UAV Design: 75 (Intelligent ... and Automation: Science and Engineering, 75)
Brand: Springer
Price: 70.27 GBP
Availability: InStock

Econometrics

It has never been this cheap. We have no record of a lower price.

£70 today · cheaper than every other day in the last 3 months

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 1 days • 1 data points (No recent data available)

Historical

Generating forecast...

Not enough data points to display chart (need at least 2 points)

Price Distribution

Price distribution over 1 days • 1 price levels

Days at Price

Price Analysis

Most common price: £70 (1 days, 100.0%)

Price range: £70 - £70

Price levels: 1 different prices over 1 days

Description

Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies. This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization. These tools use the concept of multi-population, asynchronous parallelization and hierarchical topology which allows different models including precise, intermediate and approximate models with each node belonging to the different hierarchical layer handled by a different Evolutionary Algorithm. The efficiency of evolutionary algorithms for both single and multi-objective optimization problems are significantly improved by the coupling of EAs with games and in particular by a new dynamic methodology named “Hybridized Nash-Pareto games”. Multi objective Optimization techniques and robust design problems taking into account uncertainties are introduced and explained in detail. Several applications dealing with civil aircraft and UAV, UCAV systems are implemented numerically and discussed. Applications of increasing optimization complexity are presented as well as two hands-on test cases problems. These examples focus on aeronautical applications and will be useful to the practitioner in the laboratory or in industrial design environments. The evolutionary methods coupled with games presented in this volume can be applied to other areas including surface and marine transport, structures, biomedical engineering, renewable energy and environmental problems. This book will be of interest to students, young scientists and engineers involved in the field of multi physics optimization.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 9401795193
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 27 April 2015
Listed Since: 22 August 2014

Barcode

No barcode data available

Springer Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design: Applications to Aeronautics and UAV Design: 75 (Intelligent ... and Automation: Science and Engineering, 75)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Evolutionary Optimization in Dynamic Environments: 3 (Genetic Algorithms and Evolutionary Computation, 3)

Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications

Evolutionary Computation for Dynamic Optimization Problems: 490 (Studies in Computational Intelligence, 490)

Evolutionary Computation for Dynamic Optimization Problems: 490 (Studies in Computational Intelligence, 490)

Multi-Objective Optimization Using Evolutionary Algorithms (Wiley Paperback)

Applied Evolutionary Algorithms for Engineers Using Python

Multi-Objective Optimization using Evolutionary Algorithms: 16 (Wiley Interscience Series in Systems and Optimization)

Evolutionary Multi-objective Optimization in Uncertain Environments: Issues and Algorithms: 186 (Studies in Computational Intelligence, 186)

Evolutionary Multi-objective Optimization in Uncertain Environments: Issues and Algorithms: 186 (Studies in Computational Intelligence, 186)

Recent Advances in Evolutionary Multi-objective Optimization: 20 (Adaptation, Learning, and Optimization, 20)

Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control: Volume 2: 51 (Emergence, Complexity and Computation, 51)

Evolutionary Optimization Algorithms

Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science: 975 (Studies in Computational Intelligence, 975)

Theory of Evolutionary Computation: Recent Developments in Discrete Optimization (Natural Computing Series)

Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science: 975 (Studies in Computational Intelligence, 975)

Recent Advances in Evolutionary Computation for Combinatorial Optimization: 153 (Studies in Computational Intelligence, 153)

Real-World Multi-Objective System Engineering - Nova Science

Evolutionary Algorithms and Agricultural Systems: 647 (The Springer International Series in Engineering and Computer Science, 647)

Evolutionary Computation in Dynamic and Uncertain Environments: 51 (Studies in Computational Intelligence, 51)

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

Parameter Setting in Evolutionary Algorithms: 54 (Studies in Computational Intelligence, 54)

Advances in Evolutionary Algorithms: Theory, Design and Practice: 18 (Studies in Computational Intelligence, 18)

Evolutionary Multi-Objective System Design: Theory and Applications (Chapman & Hall/CRC Computer and Information Science Series)