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Bu calismanin amaci, sezgisel ve metasezgisel yontemlerin Gezgin Satici Problemi cozum performanslarinin cozum degeri ve suresi bakimindan degerlendirilmesidir. Calisma kapsaminda, sezgisel yontem olarak butunlesik En Yakin Komsu (EYK) ve 2-Opt sezgiseli, metasezgisel yontem olarak ise karinca kolonisi optimizasyon, tabu arama, benzetilmis tavlama ve genetik algoritma yontemleri kullanilmistir. 16 adet veri seti ile yapilan deneyler, ortalama cozum degerleri ve sureleri bakimindan EYK+2-Opt butunlesik yonteminin en iyi cozumleri sagladigini gostermistir. Sonuc olarak, EYK+2-Opt yonteminin Gezgin Satici Probleminin cozumunde hizli ve etkin cozumler uretebilen kullanisli bir yontem oldugu ortaya konmustur.

SEZGİSEL VE METASEZGİSEL YÖNTEMLERİN GEZGİN SATICI PROBLEMİ ÇÖZÜM PERFORMANSLARININ KIYASLANMASI