Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach
Created by W.Langdon from
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- @Article{alvarado-iniesta:JoIM,
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author = "Alejandro Alvarado-Iniesta and
Luis Gonzalo Guillen-Anaya and Luis Alberto Rodriguez-Picon and
Raul Neco-Caberta",
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title = "Multi-objective optimization of an engine mount design
by means of memetic genetic programming and a local
exploration approach",
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journal = "Journal of Intelligent Manufacturing",
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year = "2020",
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volume = "31",
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pages = "19--32",
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month = jan,
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keywords = "genetic algorithms, genetic programming, Structural
optimization, Multi-objective optimization, Finite
element analysis, Decision making",
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URL = "http://link.springer.com/article/10.1007/s10845-018-1432-9",
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DOI = "doi:10.1007/s10845-018-1432-9",
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abstract = "the optimization of an engine mount design from a
multi-objective. Our methodology is divided into three
phases: phase one focuses on data collection through
computer simulations. The objectives considered during
the analyses are: total mass, first natural frequency
and maximum von Mises stress. In phase two, a surrogate
model by means of genetic programming is generated for
each one of the objectives. Moreover, a local search
procedure is incorporated into the overall genetic
programming algorithm for improving its performance.
Finally, in phase three, instead of steering the search
to finding the approximate Pareto front, a local
exploration approach based on a change in the weight
space is used to lead a search into user defined
directions turning the decision making more
intuitive.",
- }
Genetic Programming entries for
Alejandro Alvarado-Iniesta
Luis Gonzalo Guillen-Anaya
Luis Alberto Rodriguez-Picon
Raul Neco-Caberta
Citations