Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach
This work addresses the optimization of an engine mount design from a multi-objective scenario. 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...
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| Veröffentlicht in: | Journal of intelligent manufacturing 2020, Vol.31 (1), p.19-32 |
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| creator | Alvarado-Iniesta, Alejandro Guillen-Anaya, Luis Gonzalo Rodríguez-Picón, Luis Alberto Ñeco-Caberta, Raul |
| description | This work addresses the optimization of an engine mount design from a multi-objective scenario. 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. |
| doi_str_mv | 10.1007/s10845-018-1432-9 |
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optimization of an engine mount design by means of memetic genetic programming and a local exploration approach</title><author>Alvarado-Iniesta, Alejandro ; Guillen-Anaya, Luis Gonzalo ; Rodríguez-Picón, Luis Alberto ; Ñeco-Caberta, Raul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-6e8ce922bee2c8d3f847432b444d368eb6e5680da13ad685eb2fe1da11e173aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Advanced manufacturing technologies</topic><topic>Business and Management</topic><topic>Computer simulation</topic><topic>Control</topic><topic>Data acquisition</topic><topic>Data collection</topic><topic>Decision making</topic><topic>Design optimization</topic><topic>Exploration</topic><topic>Finite element analysis</topic><topic>Genetic algorithms</topic><topic>Machines</topic><topic>Manufacturing</topic><topic>Mechatronics</topic><topic>Multiple objective 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| source | Springer Nature - Complete Springer Journals |
| subjects | Advanced manufacturing technologies Business and Management Computer simulation Control Data acquisition Data collection Decision making Design optimization Exploration Finite element analysis Genetic algorithms Machines Manufacturing Mechatronics Multiple objective analysis Optimization algorithms Processes Production Programming Resonant frequencies Robotics Searching Simulation |
| title | Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach |
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