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

• Published in: Journal of intelligent manufacturing Vol. 31; no. 1; pp. 19 - 32
• Main Authors: Alvarado-Iniesta, Alejandro, Guillen-Anaya, Luis Gonzalo, Rodríguez-Picón, Luis Alberto, Ñeco-Caberta, Raul
• Format: Journal Article
• Language: English
• Published: New York Springer US 2020; Springer Nature B.V
• Subjects: Business and Management; Computer simulation; Control; Data acquisition; 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; Multi-objective optimization; Finite element analysis; Structural optimization; Decision making; Genetic programming

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...