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teaching:infoh414 [2017/03/09 13:51]
mdorigo [Practical lessons material]
teaching:infoh414 [2020/06/09 09:36]
mdorigo [Project rules]
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 [[http://​iridia.ulb.ac.be/​~mdorigo/​INFO-H-414/​Overheads/​4-Ant_colony_optimization.pdf| Ant Colony Optimization (ACO) ]] [[http://​iridia.ulb.ac.be/​~mdorigo/​INFO-H-414/​Overheads/​4-Ant_colony_optimization.pdf| Ant Colony Optimization (ACO) ]]
  
-[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​class1/​TSP_ANT_SYSTEM2017.pdf| The TSP solved using Ant System ]] 
  
-[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​class2/MMAS_ACS_SYSTEM2017.pdf| Advanced ACO algorithms]]+[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​swarm_robotics/5-Swarm-robotics.pdf| Introduction to Swarm Robotics]]
  
-/*[[http://​iridia.ulb.ac.be/​~mdorigo/​INFO-H-414/​Overheads/Other_ACO_and_ACOTSP.pdf|  Other ACO algorithms ​and ACOTSP]]*/+[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​SR/DoL.pdf| Division of labour ​and task allocation ​]]
  
-[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​5-Swarm-robotics.pdf| Introduction to Swarm Robotics]]+[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​SR/automode-handout.pdf| Automode ​]]
  
-[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​SR/​DoL.pdf| Division of labour and task allocation ]] 
  
-/*[[http://​iridia.ulb.ac.be/​~lgarattoni/extra/h-414/| Swarm robotics material]]+[[http://​iridia.ulb.ac.be/​~lgarattoni/​h-414/​| Swarm robotics material]] 
 + 
 +===== 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]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​classes/​TSP_ANT_SYSTEM-class_exercise.pdf| Class exercise 1]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​aco/​exercise_1/​exercise1.pdf| Exercise 1]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​aco/​aco_forStudents.zip| ACO template for the TSP]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​instances.tar.gz| Instances]] 
 + 
 +*[[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)]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​scripts.zip| Scripts (updated)]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​aco/​exercise_1/​Results_Exercise_1.zip| Exercise 1 (solved)]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​classes/​MMAS_ACS_SYSTEM.pdf| Advanced ACO algorithms]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​classes/​MMAS_ACS_SYSTEM-class_exercise.pdf| Class exercise 2]] 
 + 
 +*[[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.zip| ACOTSP (implementation of various ACO algorithms applied to the TSP)]] 
 + 
 +*[[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]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​classes/​PSO-class_exercise.pdf| Class exercise 3]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​pso/​exercise_3/​exercise3.pdf| Exercise 3]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​pso/​pso_forStudents.zip| PSO template ]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​pso/​pso_implemented.zip| Template of PSO implemented ]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​classes/​PSO-class_exercise_Solved.pdf| Class exercise 3 (solved) ]] 
 + 
 +*[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​implementations/​pso/​exercise_3/​Results_Exercise_3.zip| Exercise 3 (solved) ]] 
 + 
 +''​Swarm Robotics:''​ 
 + 
 +Instructions for the practical sessions are available through Office 365 Teams: 
 + 
 +*[[https://​teams.microsoft.com/​l/​team/​19%3aae057c144754452b9ef3ec02b7e39a29%40thread.skype/​conversations?​groupId=44ea8477-c999-4f4a-ac49-82b41b00fcf8&​tenantId=30a5145e-75bd-4212-bb02-8ff9c0ea4ae9 | Connect to Office 365 Teams]]
  
-[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​| ACO material]]*/​ 
 ===== Schedule ===== ===== Schedule =====
  
-S22 - Lesson 01 - Thu 16.02.2017 - 2:​00pm-4:​00pm - IRIDIA Seminars room+S22 - Lesson 01 - Thu 13.02.2020 - 2:​00pm-4:​00pm - S.H2213
  
-S22 - Lesson 02 - Thu 16.02.2017 4:00pm-6:00pm - IRIDIA Seminars room+S23 - Lesson 02 - Thu 20.02.2020 2:00pm-4:00pm - S.H2213
  
 +S23 - Lesson 03 - Thu 20.02.2020 - 4:​00pm-6:​00pm - Descartes (UB4.329a) and Platon (J.1.104)
  
-S23 - Lesson ​03 - Thu 23.02.2017 - 2:​00pm-4:​00pm - IRIDIA Seminars room+S24 - Lesson ​04 - Thu 27.02.2020 - 2:​00pm-4:​00pm - S.H2213
  
-S23 - Lesson ​04 - Thu 23.02.2017 - 4:​00pm-6:​00pm - IRIDIA Seminars room+s24 - Lesson ​05 - Thu 27.02.2020 - 4:​00pm-6:​00pm - Aristote (UB4.126)
  
-S24 - Lesson ​05 - Thu 02.03.2017 - 2:​00pm-4:​00pm - Room  S.UB4.329A+S26 - Lesson ​06 - Thu 12.03.2020 - 2:​00pm-4:​00pm - Aristote (UB4.126)
  
-S24 - Lesson ​06 - Thu 02.03.2017 - 4:​00pm-6:​00pm - Room  S.UB4.329A+S26 - Lesson ​07 - Thu 12.03.2020 - 4:​00pm-6:​00pm - Aristote (UB4.126)
  
-S25 - Lesson ​07 - Thu 09.03.2017 - 2:​00pm-4:​00pm - Room  S.UB4.329A+S27 - Lesson ​08 - Thu 19.03.2020 - 2:​00pm-4:​00pm - online via email to assistants
  
-S25 - Lesson ​08 - Thu 09.03.2017 - 4:​00pm-6:​00pm - Room  S.UB4.329A+S27 - Lesson ​09 - Thu 19.03.2020 - 4:​00pm-6:​00pm - online via email to assistants
  
-S26 Lesson 09 - Thu 16.03.2017 - 2:00pm-4:00pm - Room  S.UB4.329A+Due to the COVID-19 lockdown, the theoretical and practical sessions for the remaining part of the Swarm Intelligence course (which concerns swarm robotics) will be given through Office 365 TeamsStudents can connect here[[https://teams.microsoft.com/​l/​team/​19%3aae057c144754452b9ef3ec02b7e39a29%40thread.skype/​conversations?​groupId=44ea8477-c999-4f4a-ac49-82b41b00fcf8&​tenantId=30a5145e-75bd-4212-bb02-8ff9c0ea4ae9 | Connect to Office 365 Teams]]
  
-S26 - Lesson 10 - Thu 16.03.2017 - 4:00pm-6:00pm - Room  S.UB4.329A+If you have any questions concerning this part of the course you can contact ProfBirattari via emailmbiro@ulb.ac.be
  
-S27 - Lesson ​11 - Thu 23.03.2017 - 2:​00pm-4:​00pm - IRIDIA Seminars room+S28 - Lesson ​10 - Thu 26.03.2020 - 2:​00pm-4:​00pm - 
  
-S27 - Lesson ​12 - Thu 23.03.2017 - 4:​00pm-6:​00pm - Room  S.UB4.329A+S28 - Lesson ​11 - Thu 26.03.2020 - 4:​00pm-6:​00pm - 
  
-S28 - Lesson ​11 - Thu 30.03.2017 - 2:​00pm-4:​00pm - IRIDIA Seminars room+S29 - Lesson ​12 - Thu 02.04.2020 - 2:​00pm-4:​00pm - 
  
-S28 - Lesson ​12 - Thu 30.03.2017 - 4:​00pm-6:​00pm - Room  S.UB4.329A+S29 - Lesson ​13 - Thu 02.04.2020 - 4:​00pm-6:​00pm -
  
-s31 - Lesson ​13 - Thu 20.04.2017 - 2:​00pm-4:​00pm - IRIDIA Seminars room+S32 - Lesson ​14 - Thu 23.04.2020 - 2:​00pm-4:​00pm - 
  
-s31 - Lesson ​14 - Thu 20.04.2017 - 4:​00pm-6:​00pm - Room  S.UB4.329A+S32 - Lesson ​15 - Thu 23.04.2020 - 4:​00pm-6:​00pm - 
  
-s32 - Lesson ​15 - Thu 27.04.2017 - 2:​00pm-4:​00pm - Room  S.UB4.329A+S33 - Lesson ​16 - Thu 30.04.2020 - 2:​00pm-4:​00pm - 
  
-s32 - Lesson ​16 - Thu 27.04.2017 - 4:​00pm-6:​00pm - Room  S.UB4.329A+S33 - Lesson ​17 - Thu 30.04.2020 - 4:​00pm-6:​00pm -
  
-s33 - Lesson ​17 - Thu 04.05.2017 - 2:​00pm-4:​00pm - Room  S.UB4.329A+S34 - Lesson ​18 - Thu 07.05.2020 - 2:​00pm-4:​00pm -
  
-s33 - Lesson 18 - Thu 04.05.2017 - 4:​00pm-6:​00pm - Room  S.UB4.329A 
  
-===== Practical lessons material ​=====+===== Exam modalities and dates - 1st session ​=====
  
-Ant colony optimization:​ 
  
-*[[http://iridia.ulb.ac.be/​~lperez/​INFO-H-414/​implementation/​material1/​template_c_plus2017.tar.gz| Template ACO]]+**The first session exams will take place on June 22nd/23rd/24th, 2020**
  
-*[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​implementation/​material1/​template_c_implemented.tar.gz| Template ACO (implemented)]]+**Exams will take place online, using the ULB TEAMS application**
  
-*[[http://iridia.ulb.ac.be/~lperez/INFO-H-414/implementation/​material1/​instances.tar.gz| Instances]]+However, to increase flexibility,​ it will also be possible for  
 +the students to choose to have their exam on the 16th or the 18th. 
 +In this case they should let us know, at the time they deliver their  
 +project (June 6, 2020), whether they wish to have their examination  
 +on the 16th, the 18th or the 22nd/23rd/24th 
 +We will try as much as possible to meet the students requests. 
 +If no indication is provided, it will be assumed that the student wishes to take his/her exam on the 22nd/23rd/24th.
  
-*[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​implementation/​material1/​scripts.tar.gz| Scripts]]+Students should also provide, together with the delivery of their project, a telephone number or Skype address where we could call them in case there is any problem with the TEAMS connection 
 +Please place your telephone number on the project front page, just beside your name.
  
-*[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​implementation/​exercise1.pdf| Exercise 1]]+===== Exam modalities and dates 2nd session =====
  
-*[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​implementation/​exercise2.pdf| Exercise 2]]+**The second session exam will take place between August 12th and August 19th, 2020 **
  
-/**[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​implementation/​material2/​template_pso.tar.gz| Template PSO]]+**Exams will take place online, using the ULB TEAMS application**
  
-*[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​implementation/exercise3.pdf| Exercise 3]]+The exact schedule will be communicated once we know the exact number of students. 
 + 
 +/* 
 +[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​exam-time.pdf| Exam time schedule]] 
 +</note> 
 +A list with approximated presentation times for the day of exam will be available when the date of the exam is approaching. Please let us know if you have time constraints that day so we can schedule your exam at a convenient time. 
 +At the exam you will present the results of your project using a powerpoint-like presentation of exactly 5 minutes. Please bring your own portable computer and make sure it is already switched on and ready when you are called in for your oral exam. The rest of the exam will consist of a question answering session on all the subjects covered by the course. 
 +<note important>​ 
 +**The second session exam will start on Monday, August 19, 2019 ** 
 +**at the IRIDIA Lab at 09:00 am.** 
 +**it will continue in the following days, depending on the number of students taking the exam** 
 +[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​exam-time.pdf| Exam time schedule]] 
 + 
 +*/ 
 + 
 +===== Project first session ===== 
 + 
 +The project is composed of two parts, covering the two subjects studied in class: swarm robotics and optimization. In the first part, the students are required to solve, by hand, a collective decision problem in which a swarm must select the best option among set of possible alternatives. In the second part, the students must identify parameters of their solution to the collective decision problem, and fine-tune these parameters using a particle swarm optimization algorithm. 
 + 
 + 
 +<note important>​ 
 +The project description is available at the following link: 
 +[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​project/​FinalProject.pdf| Final Project SI - First Session 2020]] 
 +</​note>​
  
-*[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​implementation/​material3/​tuning-lab.tar.gz| Tuning lab]] 
  
-*[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​implementation/​exercise4.pdf| Exercise 4]]*/ 
-===== Project modalities ===== 
 /*<note important>​ /*<note important>​
-**The second session exam will take place:** +The project description is available ​at the following link
-**Friday 2 of September, 2016, at IRIDIA Lab at 14:00 pm.** +[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​project/​FinalProject.pdf| Final Project SI - Second Session 2019]]
-[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​exam-time.pdf| Exam time schedule]] +
-The new project will be available the 15 of July in this website.+
 </​note>​*/​ </​note>​*/​
  
-/*At the exam you will present the results of your project using a powerpoint-like presentation of exactly 7 minutes. Please bring your own portable computer. The rest of the exam will consist of a question answering session on all the subjects covered by the course.+==== Project rules ====
  
-[[http://​iridia.ulb.ac.be/​~lperez/​INFO-H-414/​project/​project_description2.pdf| Project description ​(second session)]]+The project ​counts for 50% of the final gradeThe two parts of the project ​(swarm robotics and optimizationare equally important and comprise one single project. Therefore, in order to deliver a complete project, the students have to tackle both parts.
  
-[[http://iridia.ulb.ac.be/​~lperez/​INFO-H-414/​project/​project_slides.pdf| Project slides]]+The project submission deadline is June 6 at 23:59Delay on the submission will entail a penalty of 1 point every 12 hours of delay on the final evaluation of the projectMaximum delays is June 9 at 23:59After this deadline, the exam is failed.
  
-[[http://iridia.ulb.ac.be/​~afranzin/​info-h-414/​pfsp_instances_training.tar.gz| ACO project training instances]]+The students have to submit, via the Assignments of TEAMS, the following elements: 
 +Their code in digital format together with information on how to test it; 
 +A short report of maximum 7 pages written in English that describes their work.
  
-[[http://​iridia.ulb.ac.be/​~afranzin/​info-h-414/​pfsp_instances_testing.tar.gz| ACO project testing instances]] 
  
  
-The deadline to deliver ​the project is **August ​272016**, please follow the instructions provided.  ​Please remind that there are 2 points ​of penalty ​for each day of delay in the submission ​of the project (this means2 points lost if you deliver ​after the deadline ​and until 24h delay, ​and so on). No exceptions.*/+/* 
 +<note important>​ 
 +**Project registration - Second session** 
 +</​note>​ 
 +To take part in the project, which is mandatory for the exam, you have to register by sending an email by July 7, 2019, to: 
 +- Christian Camacho Villalón and Federico Pagnozzi if you choose the project in optimization (ccamacho@ulb.ac.be;​ federico.pagnozzi@ulb.ac.be) 
 +- Antoine Ligot and David Garzon Ramos if you choose the project in robotics (aligot@ulb.ac.be;​ dgarzonr@ulb.ac.be) 
 +<note important>​ 
 +**The deadline for the delivery of the second session project is Friday, ​August ​9, 2019at 23:59** 
 +</​note>​ 
 +Projects submitted after this deadline will incur a penalty of 1 point for each 12 hours delaywith 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. 
 +*/ 
 + 
 + 
 +===== Project second session ===== 
 + 
 +The project, as it was the case for the first session, will be composed ​of two parts, covering the two subjects studied ​in class: swarm robotics and optimization.  
 + 
 + 
 +<note important>​ 
 +The project description will be available here starting from June 28, 2020. 
 +</​note>​ 
 + 
 + 
 +/* 
 +[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​project/​FinalProject.pdf| Final Project SI - First Session 2020]] 
 +</​note>​ 
 + 
 + 
 +/*<note important>​ 
 +The project description is available at the following link: 
 +[[http://​iridia.ulb.ac.be/​~ccamacho/​INFO-H-414/​project/​FinalProject.pdf| Final Project SI - Second Session 2019]] 
 +*/ 
 + 
 + 
 + 
 + 
 +===== Project rules ===== 
 + 
 +The project counts for 50% of the final grade. The two parts of the project (swarm robotics and optimization) are equally important and comprise one single project. Thereforein order to deliver ​a complete project, ​the students have to tackle both parts. 
 + 
 +The project submission ​deadline ​is June 6 at 23:59. Delay on the submission will entail a penalty of 1 point every 12 hours of delay on the final evaluation of the project. Maximum delays is June 9 at 23:59. After this deadlinethe exam is failed. 
 + 
 +The students have to submit, via the Assignments of TEAMS, the following elements: 
 +Their code in digital format together with information ​on how to test it; 
 +A short report of maximum 7 pages written in English that describes their work. 
 + 
 + 
 + 
 +/* 
 +<note important>​ 
 +**Project registration - Second session** 
 +</​note>​ 
 +To take part in the project, which is mandatory for the exam, you have to register by sending an email by July 7, 2019, to: 
 +- Christian Camacho Villalón and Federico Pagnozzi if you choose the project in optimization (ccamacho@ulb.ac.be;​ federico.pagnozzi@ulb.ac.be) 
 +- Antoine Ligot and David Garzon Ramos if you choose the project in robotics (aligot@ulb.ac.be; dgarzonr@ulb.ac.be) 
 +<note important>​ 
 +**The deadline for the delivery of the second session project is Friday, August 9, 2019, at 23:59** 
 +</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, August 11, 2019, will not be considered and the student will therefore not be admitted to the exam. 
 +*/ 
 + 
 + 
 +===== Second session ===== 
 + 
 +There will be a second session. The exam modalities will be the same as in the first session. The description of a new project will be made available in early July. 
 + 
 ===== Bibliography ===== ===== Bibliography =====
  
   * 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 =====
   
 //Ex cathedra// and projects. Course taught in English. //Ex cathedra// and projects. Course taught in English.
  
-===== Master thesis proposals ===== +/*===== Master thesis proposals ===== 
- +http://​cs.ulb.ac.be/​public/​teaching/​mfe/​ia ​*/
-http://​cs.ulb.ac.be/​public/​teaching/​mfe/​ia+
 
teaching/infoh414.txt · Last modified: 2021/02/04 17:57 by mdorigo