Mechatronic Design Automation: A Short Review

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InCollection{Fan:2020:beacon,

• author = "Zhun Fan and Guijie Zhuo and Wenji Li",
• title = "Mechatronic Design Automation: A Short Review",
• booktitle = "Evolution in Action: Past, Present and Future: A Festschrift in Honor of Erik D. Goodman",
• publisher = "Springer",
• year = "2020",
• editor = "Wolfgang Banzhaf and Betty H. C. Cheng and Kalyanmoy Deb and Kay E. Holekamp and Richard E. Lenski and Charles Ofria and Robert T. Pennock and William F. Punch and Danielle J. Whittaker",
• series = "Genetic and Evolutionary Computation book series",
• chapter = "30",
• pages = "453--466",
• keywords = "genetic algorithms, genetic programming, Mechatronic Systems, Design Automation, Evolutionary Design, Bond Graph (BG)",
• isbn13 = "978-3-030-39833-0",
• DOI = "doi:10.1007/978-3-030-39831-6_30",
• abstract = "a short review on mechatronic design automation (MDA) whose optimization method is mainly based on evolutionary computation techniques. The recent progress and research results of MDA are summarized systematically, and the challenges and future research directions in MDA are also discussed. The concept of MDA is introduced first, research results and potential challenges of MDA are analyzed. Then future research directions, focusing on constrained multiobjective optimization, surrogate-assisted constrained multi-objective optimization, and design automation by integrating constrained multiobjective evolutionary computation and knowledge extraction, are discussed. Finally, we suggest that MDA has great potential, and may be the next big technology wave after electronic design automation (EDA).",
• notes = "Shantou University, Shantou, China",

}

Genetic Programming entries for Zhun Fan Guijie Zhuo Wenji Li

Citations