作者: Erik K Antonsson , Yizhen Zhang , Alcherio Martinoli , None
DOI: 10.1115/DETC2003/DTM-48676
关键词:
摘要: In the engineering design process, it is important to know trade-offs achievable under various preferences and strategies. this paper, a family of are evolved from an automatic synthesis methodology based on evolutionary computation. The complete Pareto optima frontier can be by consideration fitness function that aggregates weighted fuzzy different trade-off An initial case study concerned with configuration collective sensory system presented discussed, along preliminary results obtained simulations specific scenario. indicate approach useful for designers solve complex problems.Copyright © 2003 ASME