{"id":"W2041243828","doi":"10.1016/j.buildenv.2004.11.017","title":"Applying multi-objective genetic algorithms in green building design optimization","year":2005,"lang":"en","type":"article","venue":"Building and Environment","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":722,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Concordia University","funders":"","keywords":"Exergy; Multi-objective optimization; Genetic algorithm; Pareto principle; Life-cycle assessment; Conceptual design; Optimal design; Resource consumption; Building design; Mathematical optimization; Computer science; Engineering; Reliability engineering; Production (economics); Architectural engineering; Process engineering; Mathematics; Machine learning; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286750250470036,"score_gpt":0.1996248781742955,"score_spread":0.1867573756695951,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}