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Evolutionary Multi-Objective System Design Theory and Applications

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Synopsis

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

Book details

Series:
Chapman & Hall/CRC Computer and Information Science Series
Author:
Nadia Nedjah, Luiza De Macedo Mourelle, Heitor Silverio Lopes
ISBN:
9781498780292
Related ISBNs:
9781498780285, 9780367572808, 9781315366845
Publisher:
CRC Press
Pages:
218
Reading age:
Not specified
Includes images:
No
Date of addition:
2023-09-19
Usage restrictions:
Copyright
Copyright date:
2017
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Art and Architecture, Computers and Internet, Nonfiction, Technology