{"id":"W4392977188","doi":"10.1016/j.cie.2024.110086","title":"Imperialist competitive algorithm for unrelated parallel machine scheduling with sequence-and-machine-dependent setups and compatibility and workload constraints","year":2024,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Workload; Computer science; Compatibility (geochemistry); Scheduling (production processes); Parallel computing; Algorithm; Mathematical optimization; Engineering; Mathematics; Operating system","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":[0.001775878,0.001000814,0.002725407,0.001128768,0.001020779,0.001530291,0.002557602,0.001960861,0.002896963],"category_scores_gemma":[0.005007186,0.0006279642,0.0006822454,0.001499546,0.001326845,0.001237798,0.001355599,0.001376655,0.0004388204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833026,"about_ca_system_score_gemma":0.002623147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008137026,"about_ca_topic_score_gemma":0.00643067,"domain_scores_codex":[0.9987803,0.0004981272,0.0000536266,0.0001573371,0.0003464819,0.0001641398],"domain_scores_gemma":[0.9978645,0.00131899,0.0001739103,0.0001543257,0.0003291761,0.0001590479],"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":[0.0002224409,0.00008127704,0.0002008407,0.0001204946,0.00006403194,0.00007245432,0.00007782025,0.9335058,0.0008165275,0.0313433,0.003179366,0.03031569],"study_design_scores_gemma":[0.00001797273,0.00002411298,0.00003872747,0.000002366382,0.000004781344,0.000009791436,0.000003605611,0.9942573,0.00008555328,0.005133934,0.0004182643,0.000003585449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0417146,0.0008194667,0.940701,0.000569238,0.0001570128,0.0001307404,0.0001088849,0.0004227385,0.01537632],"genre_scores_gemma":[0.7392848,0.0005070384,0.2452261,0.0002399432,0.000187484,0.000372539,0.0003183111,0.0001662241,0.01369765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008137026,"threshold_uncertainty_score":0.01617932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254003434235713,"score_gpt":0.2321018545153736,"score_spread":0.2067015110918023,"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."}}