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Research

Research Interests:
  • 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:
  • 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
  • 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
  • Hill climbing hyperheuristics for solving timetabling problems based on Memetic Algorithms.
  • Analysis of a new timetabling problem: Test Preparation School Timetabling.
  • Comparison of hyperheuristics.
  • A new representation scheme and new operators to be used in Genetic Algorithms for solving grouping problems.
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