Topics in Bio-Inspired Computing (202-1-4791) [mini-projects]
נושאים בחישוב מונחה טבע
Semester A, 2004-2005
Lecturer: Prof. Moshe Sipper
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1. Projects must be submitted one week after the end of the semester: Friday, January 21, 2005
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2. No Extensions! (other than miluim/EXTENDED illness)
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3. You must decide upon a topic until November 14, otherwise 5 points will be taken off
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Project Assignment
- Amit Kinor, Ohad Barak: 3D-CA
- Yan Yagudayev, Gregory Levit: TSP
- Edan Lerner: Evolving Cellz
- Iddo Rachlewski, Eli Bar-Lev: 3D-CA
- Lior Ben-Porat, Avishay Krepel: TSP
- Shay Shapira: Adaptive Environmentics
- Elad Buiume: TSP
- Ram Ben-Zvi, Aya Binyamin: 3D-CA
- Yaniv Goldyan, Gidi Sidis: L-Systems
- Ruth Dahan: L-Systems
Evolving Cellz Controllers: If the link to the
Cell Developer Kit doesn't work click
here.
Course Description
- Students will work on software projects in the area of evolutionary computation, bio-inspired computing, and artificial life.
Manadatory Reading
General Reference
Administrative Details
Final Report (please read this carefully!)
- The final report must include the following seven sections:
- A short introduction of the domain being investigated.
- A description of the problem or phenomenon studied.
- An explanation of the methods and algorithms employed.
- A description of your programmed system.
- An account of the results obtained.
- Some interesting conclusions.
- Bibliographic references.
- Language: Hebrew or English.
- Length: 10-20 pages.
- Don't include the code.
- Don't send the report by e-mail: hand in a hard copy.
(Evolving) List of Projects:
- Implement and compare a number of genetic-algorithm variations for solving instances of TSP (traveling
salesman problem) from
TSPLIB.
- Solving the HP Protein Folding Problem using evolutionary algorithms.
See the following papers: Unger, Liang.
- 3-D cellular
automata.
- Coevolving building blocks and solutions.
- Adaptive Environmentics.
- Learning DFA from Noisy Samples.
- Evolving Cellz Controllers.
- Extending Self-Organizing Particle Systems to Problem Solving.
- Evolving L-Systems.
- Gene Expression Programming, a linear-genome version of
Genetic
Programming.
Last updated: November 16, 2004