COURSE UNIT TITLE

: GEOPHYSICAL APPLICATIONS OF METAHEURISTIC ALGORITHMS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
JEF 4838 GEOPHYSICAL APPLICATIONS OF METAHEURISTIC ALGORITHMS ELECTIVE 2 0 0 4

Offered By

Geophysical Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR GÖKHAN GÖKTÜRKLER

Offered to

Geophysical Engineering

Course Objective

It is aimed to gain knowledge about the use of metaheuristic algorithms in the evaluation of theoretical and field data obtained by methods widely used in geophysical engineering.

Learning Outcomes of the Course Unit

1   Ability to explain and classify metaheuristic algorithms
2   Ability to compare metaheuristic methods and classical inversion methods in geophysical parameter estimation
3   Understanding the advantages of using metaheuristic algorithms in geophysical data
4   Ability to determine the principles of application of metaheuristic algorithms to geophysical data
5   Ability to analyze the results of geophysical parameters estimated using metaheuristic algorithms

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Metaheuristic algorithms and classification
2 Historical development of the use of metaheuristic algorithms in geophysics
3 Advantages and basic concepts of metaheuristic algorithms in parameter estimation of geophysical data
4 Comparison of metaheuristic algorithms with classical inversion methods in geophysics
5 The use of Artificial Heat Treatment Algorithm in solving geophysical problems and its various applications
6 Use of Genetic Algorithm in solving geophysical problems and its various applications
7 Use of Differential Evolution Algorithm in solving geophysical problems and its various applications
8 The use of Particle Swarm Optimization in solving geophysical problems and its various applications
9 The use of the Cuckoo Search Algorithm in solving geophysical problems and its various applications
10 The use of the Bat Algorithm in solving real geophysical problems and its various applications
11 Uncertainty analyzes in metaheuristic algorithms
12 Hybrid metaheuristic algorithm examples
13 Historical development of the use of metaheuristic algorithms in geophysics
14 Classification of metaheuristic algorithms

Recomended or Required Reading

Textbook(s): Nature-Inspired Metaheuristic Algorithms (Xin-She Yang, 2008. Luniver Press).

Supplementary Book(s): Yapay Zeka Optimizasyon Algoritmaları, Nobel Akademik Yayıncılık. (Derviş Karaboğa, 2006).

References:
-Ekinci, Y.L., Balkaya, Ç., Göktürkler, G. and Turan, S. (2016). Model parameter estimations from residual gravity anomalies due to simple-shaped sources using Differential Evolution Algorithm. Journal of Applied Geophysics, 129, 133-147.

- Göktürkler, G. 2011. A hybrid approach for tomographic inversion of crosshole seismic first-arrival times. Journal of Geophysics and Engineering, 8, 99-108.

- Turan-Karaoğlan, S. and Göktürkler, G. (2021). Cuckoo Search Algorithm for model parameter estimation from self-potential data. Journal of Applied Geophysics, 194, 104461.

-Turan-Karaoğlan, S. and Göktürkler, G. (2022). Gravite Anomalilerinin Guguk Kuşu Arama Algoritması ile Ters Çözümü. Dokuz Eylul University Faculty of Engineering Journal of Science and Engineering, 24(72), 799-813.

- Göktürkler, G., Balkaya, Ç., Ekinci Y.L., Turan, S. (2016). Uygulamalı jeofizikte metasezgiseller. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 22(6): 563-580. DOI: 10.5505/pajes.2015.81904.

Planned Learning Activities and Teaching Methods

Lectures, homeworks, and exams.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Midterm exam: %30
Homework: %20
Final exam: %50

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Gökhan Göktürkler e-posta: gokhan.gokturkler@deu.edu.tr, Seçil TURAN-KARAOĞLAN e-posta: secil.turan@deu.edu.tr

Office Hours

Friday 10.00-12.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 12 12
Preparation for final exam 1 16 16
Preparing assignments 1 11 11
Final 1 2 2
Midterm 1 2 2
Project Assignment 1 1 1
TOTAL WORKLOAD (hours) 100

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.143
LO.245
LO.3334
LO.444
LO.553

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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