Kay Chen Tan & Eik Fun Khor 
Multiobjective Evolutionary Algorithms and Applications 

Ondersteuning

Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoretical developments and the practical implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required.


Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.

€149.79
Betalingsmethoden

Inhoudsopgave

Review of MOEAs.- Conceptual Framework and Distribution Preservation Mechanisms for MOEAs.- Decision Supports and Advanced Features for MOEAs.- Dynamic Population Size and Local Exploration for MOEAs.- A Distributed Cooperative Coevolutionary Multiobjective Algorithm.- Learning the Search Range in Dynamic Environments.- Performance Assessment and Comparison of MOEAs.- A Multiobjective Evolutionary Algorithm Toolbox.- Evolutionary Computer-Aided Control System Design.- Evolutionary Design Automation of Multivariable QFT Control System.- Evolutionary Design of HDD Servo Control System.- Evolutionary Scheduling — VRPTW.- Evolutionary Scheduling — TTVRP.
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Taal Engels ● Formaat PDF ● Pagina’s 296 ● ISBN 9781846281327 ● Bestandsgrootte 151.7 MB ● Uitgeverij Springer London ● Stad London ● Land GB ● Gepubliceerd 2005 ● Downloadbare 24 maanden ● Valuta EUR ● ID 2496081 ● Kopieerbeveiliging Sociale DRM

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