{"response":{"docs":[{"system_create_dtsi":"2017-10-27T02:30:39Z","system_modified_dtsi":"2018-08-01T18:37:32Z","has_model_ssim":["Article"],"id":"bc386s86w","accessControl_ssim":["da754c80-f0df-4a37-a8f7-f2ea2996c29e"],"hasRelatedMediaFragment_ssim":["bc386s875"],"hasRelatedImage_ssim":["bc386s875"],"depositor_ssim":["cohenky@ucmail.uc.edu"],"depositor_tesim":["cohenky@ucmail.uc.edu"],"title_tesim":["Genetic Fuzzy Trees and their Application Towards Autonomous Training and Control of a Squadron of Unmanned Combat Aerial Vehicles"],"date_uploaded_dtsi":"2017-02-03T00:00:00Z","date_modified_dtsi":"2017-04-05T00:00:00Z","isPartOf_ssim":["admin_set/default"],"proxy_depositor_ssim":["dungavjk@mail.uc.edu"],"doi_tesim":["10.1142/S2301385015500120"],"college_tesim":["Engineering and Applied Science"],"department_tesim":["Aerospace Engineering and Engineering Mechanics"],"note_tesim":["This work was part of a pilot \"mediated-deposit model\" where library staff found potential works, later submitted for faculty review"],"creator_tesim":["Schumacher, Corey","Cohen, Kelly","Ernest, Nicholas","Casbeer, David","Kivelevitch, Elad"],"language_tesim":["English"],"description_tesim":["This study introduces the technique of Genetic Fuzzy Trees (GFTs) through novel application to an air combat control problem of an autonomous squadron of Unmanned Combat Aerial Vehicles (UCAVs) equipped with next-generation defensive systems. GFTs are a natural evolution to Genetic Fuzzy Systems, in which multiple cascading fuzzy systems are optimized by genetic methods. In this problem a team of UCAV's must traverse through a battle space and counter enemy threats, utilize imperfect systems, cope with uncertainty, and successfully destroy critical targets. Enemy threats take the form of Air Interceptors (AIs), Surface to Air Missile (SAM) sites, and Electronic WARfare (EWAR) stations. Simultaneous training and tuning a multitude of Fuzzy Inference Systems (FISs), with varying degrees of connectivity, is performed through the use of an optimized Genetic Algorithm (GA). The GFT presented in this study, the Learning Enhanced Tactical Handling Algorithm (LETHA), is able to create controllers with the presence of deep learning, resilience to uncertainties, and adaptability to changing scenarios. These resulting deterministic fuzzy controllers are easily understandable by operators, are of very high performance and efficiency, and are consistently capable of completing new and different missions not trained for."],"license_tesim":["http://rightsstatements.org/vocab/InC/1.0/"],"date_created_tesim":["2015-05"],"thumbnail_path_ss":"/downloads/bc386s875?file=thumbnail","suppressed_bsi":false,"actionable_workflow_roles_ssim":["admin_set/default-default-depositing"],"workflow_state_name_ssim":["deposited"],"member_ids_ssim":["bc386s875"],"file_set_ids_ssim":["bc386s875"],"visibility_ssi":"open","admin_set_tesim":["Default Admin Set"],"sort_title_ssi":"GENETIC FUZZY TREES AND THEIR APPLICATION TOWARDS AUTONOMOUS TRAINING AND CONTROL OF A SQUADRON OF UNMANNED COMBAT AERIAL VEHICLES","human_readable_type_tesim":["Article"],"read_access_group_ssim":["public"],"read_access_person_ssim":["konecnmc@ucmail.uc.edu"],"edit_access_person_ssim":["cohenky@ucmail.uc.edu"],"nesting_collection__pathnames_ssim":["bc386s86w"],"nesting_collection__deepest_nested_depth_isi":1,"_version_":1697124990680301568,"timestamp":"2021-04-15T16:35:15.343Z","score":0.00049999997}],"facets":[{"name":"human_readable_type_sim","items":[{"value":"Article","hits":1,"label":"Article"}],"label":"Human Readable Type Sim"},{"name":"creator_sim","items":[{"value":"Casbeer, David","hits":1,"label":"Casbeer, David"},{"value":"Cohen, Kelly","hits":1,"label":"Cohen, Kelly"},{"value":"Ernest, Nicholas","hits":1,"label":"Ernest, Nicholas"},{"value":"Kivelevitch, Elad","hits":1,"label":"Kivelevitch, Elad"},{"value":"Schumacher, Corey","hits":1,"label":"Schumacher, Corey"}],"label":"Creator Sim"},{"name":"subject_sim","items":[],"label":"Subject Sim"},{"name":"college_sim","items":[{"value":"Engineering and Applied Science","hits":1,"label":"Engineering and Applied Science"}],"label":"College Sim"},{"name":"department_sim","items":[{"value":"Aerospace Engineering and Engineering Mechanics","hits":1,"label":"Aerospace Engineering and Engineering Mechanics"}],"label":"Department Sim"},{"name":"language_sim","items":[{"value":"English","hits":1,"label":"English"}],"label":"Language Sim"},{"name":"publisher_sim","items":[],"label":"Publisher Sim"},{"name":"date_created_sim","items":[{"value":"2015-05","hits":1,"label":"2015-05"}],"label":"Date Created Sim"},{"name":"member_of_collection_ids_ssim","items":[],"label":"Member Of Collection Ids Ssim"},{"name":"generic_type_sim","items":[{"value":"Work","hits":1,"label":"Work"}],"label":"Generic Type Sim"}],"pages":{"current_page":1,"next_page":null,"prev_page":null,"total_pages":1,"limit_value":10,"offset_value":0,"total_count":1,"first_page?":true,"last_page?":true}}}