{
    "article_id": 833,
    "public_id": "f0088406-c20f-4907-a737-40ba346cbb30",
    "internal_identifier": null,
    "source_identifier": "39:198",
    "status": "published",
    "type": "research_article",
    "title": "YAPAY ARI KOLONİ ALGORİTMALARININ SÜRÜ ROBOT HEDEF BULMA PROBLEMİNE UYGULANMASI",
    "title_secondary": null,
    "abstract": "Bu çalışmada Yapay Arı Koloni optimizasyon algoritmalarının üç varyantı sürü robotların hedef bulma probleminde\r\nkullanılmıştır. Yapay arı kolonisi optimizasyon algoritmalarının Unity 3D ortamında simülasyonunu gerçekleştiren yazılım\r\ngeliştirilmiştir. Sürü robotların hedef bulma problemine daha iyi çözümler üretebilmesi için algoritmalara yeni modifikasyonlar\r\nönerilmiştir. Ayrıca çalışmada sabit bir hedefin bulunması problemi yanında pozisyonu zamanla değişen hedef bulma problemi\r\nde incelenmiştir. Geliştirilen sürü robot simülasyon uygulamasının, birçok farklı algoritmanın üzerinde test edilerek sonuçlarının\r\nkarşılaştırılabileceği bir platform olması hedeflenmiştir.  ",
    "language": "tr",
    "english_title": "APPLICATION OF ARTIFICIAL BEE COLONY ALGORITHMS TO THE SWARM ROBOT TARGET FINDING PROBLEM",
    "english_abstract": "In this study, we utilized three version of artificial bee colony optimization algorithms for target locating problem in swarm robotics. A software, which implements simulations of artificial bee colony optimization algorithms in Unity 3D environments is developed. We suggested some modifications to these algorithms so that they can offer better solutions to problem of target locating in swarm robotics. Besides, we also addressed locating problem of dynamic targets apart from static ones. We developed swarm robotics simulation software to create a platform that can be used for testing different algorithms, and compare their results.",
    "doi": null,
    "doi_url": null,
    "resource_url": "https://www.set-science.com/a/f0088406-c20f-4907-a737-40ba346cbb30",
    "pdf_url": "https://www.set-science.com/a/f0088406-c20f-4907-a737-40ba346cbb30/pdf",
    "og_image": "https://www.set-science.com/assets/img/og-card-v2.png",
    "authors": [
        {
            "public_id": "fd98c3ba-dac8-4f7a-b975-a4946423163d",
            "given": "M.Akif",
            "family": "Fındıklı",
            "full": "M.Akif Fındıklı",
            "literal": null,
            "orcid": null,
            "orcid_url": null,
            "email": "m.akif.findikli@inonu.edu.tr",
            "corresponding": true,
            "sequence": "first",
            "affiliations": [
                {
                    "name": "İnönü University",
                    "department": null,
                    "country": null,
                    "country_code": null,
                    "ror": null,
                    "ror_url": null
                }
            ]
        },
        {
            "public_id": "9d784b31-ff7b-4fee-bb30-8045f92455a7",
            "given": "A.Fatih",
            "family": "Kocamaz",
            "full": "A.Fatih Kocamaz",
            "literal": null,
            "orcid": null,
            "orcid_url": null,
            "email": "m.akif.findikli@inonu.edu.tr",
            "corresponding": false,
            "sequence": "additional",
            "affiliations": [
                {
                    "name": "İnönü University",
                    "department": null,
                    "country": null,
                    "country_code": null,
                    "ror": null,
                    "ror_url": null
                }
            ]
        }
    ],
    "keywords": [],
    "translations": [
        {
            "language": "en",
            "title": "APPLICATION OF ARTIFICIAL BEE COLONY ALGORITHMS TO THE SWARM ROBOT TARGET FINDING PROBLEM",
            "abstract": "In this study, we utilized three version of artificial bee colony optimization algorithms for target locating problem in swarm robotics. A software, which implements simulations of artificial bee colony optimization algorithms in Unity 3D environments is developed. We suggested some modifications to these algorithms so that they can offer better solutions to problem of target locating in swarm robotics. Besides, we also addressed locating problem of dynamic targets apart from static ones. We developed swarm robotics simulation software to create a platform that can be used for testing different algorithms, and compare their results.",
            "keywords": [
                "Sürü robot, sürü optimizasyon algoritması, yapay arı kolonisi algoritması, hedef bulma, dinamik hedef"
            ]
        }
    ],
    "subjects": [],
    "subject_names": [],
    "published_date": "2018-12-31",
    "published_year": "2018",
    "received_date": null,
    "accepted_date": null,
    "volume": "3",
    "issue": null,
    "page_first": "1034",
    "page_last": "1039",
    "article_number": null,
    "conference": {
        "short_name": "ISAS2018-Winter",
        "full_title": "2nd International Symposium on Innovative Approaches in Scientific Studies",
        "name": "2nd International Symposium on Innovative Approaches in Scientific Studies",
        "acronym": "ISAS2018-Winter",
        "location": "Samsun, Türkiye",
        "start_date": "2018-11-30",
        "end_date": null,
        "public_id": "b8a703cc-09f7-4d5b-ae60-eb31a1050720"
    },
    "proceedings": {
        "title": "2nd International Symposium on Innovative Approaches in Scientific Studies",
        "series_title": "Setsci conference indexing system",
        "publisher": "SET Technology",
        "isbn": null,
        "eisbn": null,
        "issn": "2618-6446",
        "eissn": null,
        "doi": null,
        "doi_prefix": null,
        "slug": "setsci-volume-3-2018-legacy-39",
        "public_id": "641f522e-9cf0-4c89-be17-c6037f3d1bca",
        "url": "https://www.set-science.com/p/setsci-volume-3-2018-legacy-39"
    },
    "license": {
        "name": "CC BY 4.0",
        "url": "https://creativecommons.org/licenses/by/4.0/",
        "code": "CC-BY-4.0",
        "open_access": true
    },
    "copyright": {
        "holder": "SET Technology",
        "year": "2018"
    },
    "funding_statement": null,
    "funders": [],
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        "published": "2018-12-31"
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