Evolutionary Multi-Objective System Design: Theory and Applications (Chapman & Hall/CRC Computer and Information Science Series) - Image 1

£43.19

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

Name: Evolutionary Multi-Objective System Design: Theory and Applications (Chapman & Hall/CRC Computer and Information Science Series)
Brand: CRC Press
Price: 42.98 GBP
Availability: InStock

Architecture & Microprocessors

Price History & Forecast

Last 76 days • 76 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 76 days • 1 price levels

Days at Price

Price Analysis

Most common price: £43 (76 days, 100.0%)

Price range: £43 - £43

Price levels: 1 different prices over 76 days

Description

Real-world engineering problems often require concurrent optimization of several design objectives, which are conflicting in cases. This type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary methodologies to multi-objective optimization is of special and growing interest. It brings a viable computational solution to many real-world problems. Generally, multi-objective engineering problems do not have a straightforward optimal design. These kinds of problems usually inspire several solutions of equal efficiency, which achieve different trade-offs. Decision makers’ preferences are normally used to select the most adequate design. Such preferences may be dictated before or after the optimization takes place. They may also be introduced interactively at different levels of the optimization process. Multi-objective optimization methods can be subdivided into classical and evolutionary. The classical methods usually aim at a single solution while the evolutionary methods provide a whole set of so-called Pareto-optimal solutions. Evolutionary Multi-Objective System Design: Theory and Applications provides a representation of the state-of-the-art in evolutionary multi-objective optimization research area and related new trends. It reports many innovative designs yielded by the application of such optimization methods. It also presents the application of multi-objective optimization to the following problems: Embrittlement of stainless steel coated electrodes Learning fuzzy rules from imbalanced datasets Combining multi-objective evolutionary algorithms with collective intelligence Fuzzy gain scheduling control Smart placement of roadside units in vehicular networks Combining multi-objective evolutionary algorithms with quasi-simplex local search Design of robust substitution boxes Protein structure prediction problem Core assignment for efficient network-on-chip-based system design

Product Specifications

Brand: CRC Press
Format: paperback
ASIN: 036757280X
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 30 June 2020
Listed Since: 29 May 2020

Barcode

No barcode data available

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

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Evolutionary Multiobjective Optimization: Theoretical Advances and Applications (Advanced Information and Knowledge Processing)

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

Applications of Evolutionary Computing: Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC: 3449 (Lecture Notes in Computer Science, 3449)

Applications of Evolutionary Computation: 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings: 9028 (Lecture Notes in Computer Science, 9028)

Optinformatics in Evolutionary Learning and Optimization: 25 (Adaptation, Learning, and Optimization, 25)

Advances in Systems Engineering: Select Proceedings of NSC 2019 (Lecture Notes in Mechanical Engineering)

Evolutionary Multi-Task Optimization: Foundations and Methodologies (Machine Learning: Foundations, Methodologies, and Applications)

The Theory of Evolution Strategies (Natural Computing Series)

Markov Networks in Evolutionary Computation: 14 (Adaptation, Learning, and Optimization, 14)

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)

Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): Learning, Optimization and Interdisciplinary Applications: 512 (Studies in Computational Intelligence, 512)

Computational Intelligence Paradigms: Theory & Applications using MATLAB

Evolutionary Machine Design: Methodology & Applications

Metaheuristics for Data Clustering and Image Segmentation: 152 (Intelligent Systems Reference Library, 152)

Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms (International Series on Computational Intelligence)

Genetic Algorithms and Fuzzy Multiobjective Optimization: 14 (Operations Research/Computer Science Interfaces Series, 14)

Evolutionary Algorithms in Engineering Applications

Numerical and Evolutionary Optimization – NEO 2017: 785 (Studies in Computational Intelligence, 785)

Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management: 144 (Studies in Computational Intelligence, 144)

Evolutionary Social Psychology

Artificial Intelligence and Evolutionary Computations in Engineering Systems: 1056 (Advances in Intelligent Systems and Computing, 1056)

Handbook of Bioinspired Algorithms and Applications (Chapman & Hall/Ctc Computer and Information Science Series)

Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems: 12 (Proceedings in Adaptation, Learning and Optimization, 12)

Evolutionary Algorithms in Water Resources (In Focus – Special Book Series)