000160458 001__ 160458
000160458 005__ 20180913060238.0
000160458 0247_ $$2doi$$a10.1007/s00163-008-0047-0
000160458 022__ $$a0934-9839
000160458 02470 $$2ISI$$a000260769800003
000160458 037__ $$aARTICLE
000160458 245__ $$aEvolutionary engineering design synthesis of on-board traffic monitoring sensors
000160458 260__ $$bSpringer Verlag$$c2008
000160458 269__ $$a2008
000160458 336__ $$aJournal Articles
000160458 520__ $$aIn this paper, a formal engineering design synthesis methodology based on evolutionary computation is presented, with special emphasis on the design and optimization of distributed independent systems. A case study concerned with design of a sensory system for traffic monitoring purposes is presented, along with simulations of traffic scenarios at several levels of abstraction. It is shown how the methodology introduced is able to deal with the engineering design challenges present in the case study, and effectively synthesize novel design solutions of good quality. Moreover, when the fitness function is formulated as an aggregation of design preferences with different weights and trade-off strategies, the complete Pareto optimal frontier can be determined by the evolutionary synthesis methodology. The results of this study suggest that the approach can be useful for designers to solve challenging engineering design synthesis problems.
000160458 6531_ $$aEngineering design synthesis
000160458 6531_ $$aEvolutionary computation
000160458 6531_ $$aMulti-level simulation
000160458 6531_ $$aEngineering trade-offs and performance evaluations
000160458 6531_ $$aTraffic systems
000160458 6531_ $$aDistributed sensory systems
000160458 700__ $$aZhang, Yizhen
000160458 700__ $$aAntonsson, Erik K.
000160458 700__ $$0241071$$aMartinoli, Alcherio$$g105782
000160458 773__ $$j19$$q113-125$$tResearch In Engineering Design
000160458 909C0 $$0252151$$pDISAL$$xU11904
000160458 909CO $$ooai:infoscience.tind.io:160458$$particle$$pENAC
000160458 917Z8 $$xWOS-2010-11-30
000160458 917Z8 $$x105782
000160458 937__ $$aEPFL-ARTICLE-160458
000160458 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000160458 980__ $$aARTICLE