{"id":"W2062705997","doi":"10.1007/s00500-008-0337-5","title":"Using an enhanced scatter search algorithm for a resource-constrained project scheduling problem","year":2008,"lang":"en","type":"article","venue":"Soft Computing","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Benchmark (surveying); Job shop scheduling; Computer science; Crossover; Mathematical optimization; Algorithm; Scheduling (production processes); Schedule; Computational complexity theory; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001689859,0.0007394679,0.001390654,0.001112414,0.0005019188,0.0009731831,0.0009229185,0.001405927,0.00282052],"category_scores_gemma":[0.003978196,0.0005115952,0.0008520241,0.001804384,0.0005652689,0.001264441,0.001242391,0.0008945325,0.0004558583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005782959,"about_ca_system_score_gemma":0.001690736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005187766,"about_ca_topic_score_gemma":0.005265683,"domain_scores_codex":[0.9993898,0.0002365673,0.00003241295,0.00007752658,0.0002067656,0.00005688613],"domain_scores_gemma":[0.998316,0.001063826,0.0001120082,0.000105167,0.0003334085,0.00006947654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001389086,0.00009790372,0.000572112,0.00006450387,0.000056566,0.0000376265,0.00004175532,0.9244375,0.00281572,0.008078942,0.001041236,0.06261741],"study_design_scores_gemma":[0.00001689158,0.00002026926,0.00005232576,0.000003057604,0.000004882684,0.000007642338,0.000003799596,0.9978936,0.0002286234,0.00156623,0.0002004993,0.000002137004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01746812,0.00008586564,0.9810114,0.00008930846,0.00002876221,0.00003938954,0.0000221947,0.000188111,0.001066886],"genre_scores_gemma":[0.2919049,0.0001453679,0.7047252,0.0001065764,0.0000613766,0.0002296055,0.0001866083,0.000133023,0.002507377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005187766,"threshold_uncertainty_score":0.01031518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2173452877011113,"score_gpt":0.4178145060016266,"score_spread":0.2004692183005153,"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."}}