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Nature-Inspired Computing Techniques for Real-Life Problems

Gain insight into different nature-inspired computing methods to solve practical optimization problems. Learn techniques like Hill Climbing, Genetic Algorithms, Neural Networks, and more. Develop software codes and apply these techniques in real-world scenarios.

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Nature-Inspired Computing Techniques for Real-Life Problems

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  1. COMPE 564/ MODES 662 Natural Computing 2013Fall Murat KARAKAYADepartment of Computer Engineering

  2. COMPE 564 / MODES 662 Natural Computing Instructors: Murat KARAKAYA Email : kmkarakaya@atilim.edu.tr Office : Z-14 Lecture :Wednesday 14:30-17:20 @ 2031 Office Hour :Wednesday 14:00-14:30 Teaching Asst.:TBD Email :TBD Office : TBD Course Web page is on Moodle: Check your registration!

  3. Objectives & Content Objectives: to teach differentnature inspired computing techniques; to gain aninsight about how to solve real-life practicalcomputing and optimization problems.

  4. Objectives & Content • Gain necessary knowledge about nature-inspiredcomputing mechanisms, includingHill Climbing,Simulated Annealing, Genetic Algorithms, NeuralNetworks, Swarm Intelligence (e.g. Ant Colonies,Particle Swarm Optimization) and Artificial ImmuneSystems. • Understand and improve the mentioned natureinspired computing techniques • Applying the nature-inspired computingtechniques to real-lifepractical problems • Develop necessary software codes in thenature-inspired computing context.

  5. Text Books and References Course Book: 1. Leandro Nunes de Castro, Fundamentals of NaturalComputing: Basic Concepts, Algorithms and Applications,Chapman & Hall/CRC, 2006, ISBN 1-58488-643-9. Other Sources: S. Russell and P. Norvig, Artificial Intelligence: A ModernApproach, Prentice-Hall, 2003, ISBN: 0-13-790395-2 J. Hertz, A. Krogh and R.G. Palmer, Introduction to theTheory of Neural Computation, Addison-Wesley PublishingCompany, 1991, ISBN: 0-201-50395-6. M. Dorigo and T. Stützle, Ant Colony Optimization, MITPress, 2004. ISBN: 0-262-04219-3 Artificial Intelligence, Patrick H. Winston, Addison-Wesley,1992. ISBN: 0-201-533774

  6. Grading (Tentative) Presentations ?% Reports ?% Demo ?% Midterms ?% Final Exam ?% Passing grade DD >= 60 FD<=59! No bell curve! Catalog will apply

  7. Grading Policies Missed exams: no make-up exam for midterms without approved excuse! no make-up exam for final for any excuse! Ethics: All assignments/projects are to be your own work. Participation: You are supposed to be active in the class by involving and participating disscusions via asking questions, proposing solutions, explaning your ideas, etc.

  8. Literature Survey Presentation Schedule • GA • Halil Savuran W3 • NeuralComp • Kerem Yücel W3 • Kaled Alhaddat W4 • ABC • Arda Sezen W4 • ACO • Emre Tuner W5 • Particle Swarm • Hamdi Demirel W5

  9. WORK LOAD & EXPECTED SKILLS Need to have a copy of the Text Book You have to read the chapters in the book and research for the related papers. You haveto take note during the lectures or classes. You will present, teach & report your topic/worki You will code your solution to the selected problem. Finally; you are expected to write a paper & submit to a conference You are supposed to be good at Coding - Algorithms Linear Programming - Data Structures Report writing & presenting - Self-motivated

  10. Any Questions?

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