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  • Course Information
    • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Optimization BİL486 FALL-SPRING 2+0 E 4
    Learning Outcomes
    1-Explains the Structures of Optimization Algorithms
    2-Defines Optimization Problems
    3-Defines Classification of Optimization Methods
    4-Uses Heuristic Algorithms
    Prerequisites -
    Language of Instruction Turkish
    Responsible Assist. Prof. Dr. Selim BUYRUKOĞLU
    Instructors -
    Assistants -
    Resources R1: Derviş Karaboğo, Yapay Zeka Optimizasyon Algoritmaları, Nobel Yayınevi, 2020. R2: Robert F. Rhyder, Manufacturing Process Design and Optimization, Marcel Dekker Inc Yayınevi, 1997.
    Supplementary Book -
    Goals Building infrastructure on Heuristic Optimization Methods.
    Content Heuristics Algorithms, Regional Research Landing Methods, Heat Treatment Algorithm, Taboo Research Algorithm
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