Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach

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@Article{alvarado-iniesta:JoIM,

• author = "Alejandro Alvarado-Iniesta and Luis Gonzalo Guillen-Anaya and Luis Alberto Rodriguez-Picon and Raul Neco-Caberta",
• title = "Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach",
• journal = "Journal of Intelligent Manufacturing",
• year = "2020",
• volume = "31",
• pages = "19--32",
• month = jan,
• keywords = "genetic algorithms, genetic programming, Structural optimization, Multi-objective optimization, Finite element analysis, Decision making",
• URL = "http://link.springer.com/article/10.1007/s10845-018-1432-9",
• DOI = "doi:10.1007/s10845-018-1432-9",
• 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