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Research
Research Interests:
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Particle Swarm Optimization
(PSO)
- Multimodal, multiobjective and constraint optimization
- Solving a variety of timetabling problems using Genetic Algorithms including university course timetabling, classroom assignment and final exam timetabling
- Developing a new framework of a memetic algorithm for multi-criteria optimization
- Representational issues (Linear Linkage Encoding)
- Hyperheuristics
- Algorithms derived from nature
- Computational geometry problems that are NP-hard/complete, open for research
- Grouping problems: bin packing, graph coloring, clustering
Ongoing Projects:
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Project Name : A Study of Transcriptional Profiling of Gene Experession in Metastatic Tumors Using Integrated Bioinformatics Approach and Drug Target Identification
Project Team: Işıl Kurnaz (Project Leader), Cem Ünsalan (Researcher), Nihat Baysal (Researcher), Ender Özcan (Researcher), Levent Kurnaz (Researcher), Türkan Haliloğlu (Researcher), Fikrettin Şahin (Researcher)
Start Date: September 2005
End Date: September 2009
Supported by DPT
Grant: 232.000 YTL
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Project Name : Operators for Solving Timetabling Problem Instances
Project Team: Ender Ozcan (Project Leader), Emin Erkan Korkmaz (Researcher), Burak Bilgin (Researcher), Özgür Ülker (Researcher)
Start Date: October 2005
End Date: October 2006
Supported by TÜBİTAK
Grant: 42.160 YTL
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Hill climbing hyperheuristics for solving timetabling problems based on
Memetic Algorithms.
- Analysis of a new timetabling problem: Test Preparation School Timetabling.
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Comparison of hyperheuristics.
- A new representation scheme and new operators to be used in Genetic Algorithms
for solving grouping problems.
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