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teaching:infoh414 [2019/07/01 17:36]
mdorigo [Exam modalities]
teaching:infoh414 [2020/02/12 16:58]
mdorigo [Practical lessons material]
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 S34 - Lesson 18 - Thu 09.05.2019 - 2:​00pm-4:​00pm - S.UB4.126 S34 - Lesson 18 - Thu 09.05.2019 - 2:​00pm-4:​00pm - S.UB4.126
-===== Practical lessons material ===== 
- 
-Ant Colony Optimization and Particle Swarm Optimization:​ 
- 
-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​classes/​TSP_ANT_SYSTEM.pdf| The TSP solved using Ant System]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​classes/​TSP_ANT_SYSTEM-class_exercise.pdf| Class exercise 1]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​aco/​exercise_1/​exercise1.pdf| Exercise 1]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​aco/​aco_forStudents.zip| ACO template for the TSP]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​instances.tar.gz| Instances]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​scripts_forStudents.zip| Scripts]] 
- 
---- 
- 
-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​aco/​aco_implemented.zip| Template of ACO for the TSP (implemented)]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​scripts.zip| Scripts (updated)]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​aco/​exercise_1/​results_(exercise_1).zip| Exercise 1 (solved)]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​classes/​MMAS_ACS_SYSTEM.pdf| Advanced ACO algorithms]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​classes/​MMAS_ACS_SYSTEM-class_exercise.pdf| Class exercise 2]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​aco/​exercise_2/​exercise2.pdf| Exercise 2]] 
- 
---- 
- 
-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​aco/​ACOTSP-1.03.tgz| ACOTSP (implementation of various ACO algorithms applied to the TSP)]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​aco/​exercise_2/​results_(exercise_2).zip| Exercise 2 (solved)]] 
- 
-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​classes/​PSO.pdf| Particle Swarm Optimization]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​classes/​PSO-class_exercise.pdf| Class exercise 3]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​pso/​exercise_3/​exercise3.pdf| Exercise 3]] 
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-*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​pso/​pso_forStudents.zip| PSO template ]] 
  
  
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 **The deadline for the delivery of the second session project is Friday, August 9, 2019, at 23:59** **The deadline for the delivery of the second session project is Friday, August 9, 2019, at 23:59**
 </​note>​ </​note>​
-Projects submitted after this deadline will incur a penalty of 1 point for each 12 hours delay, with a max accepted delay of 2 calendar days.  Projects delivered after the midnight of Sunday, ​Augsut ​11, 2019, will not be considered and the student will therefore not be admitted to the exam.+Projects submitted after this deadline will incur a penalty of 1 point for each 12 hours delay, with a max accepted delay of 2 calendar days.  Projects delivered after the midnight of Sunday, ​August ​11, 2019, will not be considered and the student will therefore not be admitted to the exam.
  
  
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 ===== Exam modalities ===== ===== Exam modalities =====
 <note important>​ <note important>​
-**The second session exam will take place on August 19/20, 2019, **+**The second session exam will take place on August 19, 2019, **
 **at the IRIDIA Lab.** **at the IRIDIA Lab.**
 **The exact schedule will be communicated once we know the exact number of students.** **The exact schedule will be communicated once we know the exact number of students.**
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   * Dorigo M. & T. Stützle (2004). Ant Colony Optimization. Cambridge, MA: MIT Press/​Bradford Books    * Dorigo M. & T. Stützle (2004). Ant Colony Optimization. Cambridge, MA: MIT Press/​Bradford Books 
   * Bonabeau E., M. Dorigo & G. Theraulaz (1999). Swarm Intelligence:​ From Natural to Artificial Systems. New York, NY: Oxford University Press   * Bonabeau E., M. Dorigo & G. Theraulaz (1999). Swarm Intelligence:​ From Natural to Artificial Systems. New York, NY: Oxford University Press
 +  * Francesca G. & M. Birattari (2016). Automatic Design of Robot Swarms: Achievements and Challenges. Frontiers in Robotics and AI. https://​www.frontiersin.org/​article/​10.3389/​frobt.2016.00029 
 +  * Birattari M., A. Ligot, D. Bozhinoski et al (2019). Automatic Off-Line Design of Robot Swarms: A Manifesto. Frontiers in Robotics and AI. https://​www.frontiersin.org/​article/​10.3389/​frobt.2019.00059
 ===== Teaching methods ===== ===== Teaching methods =====
   
 
teaching/infoh414.txt · Last modified: 2021/02/04 17:57 by mdorigo