Advanced Seminar D
​סמינר מתקדם ד

Evolutionary Algorithms
202-2-1541 ​Spring 2021 סמסטר ב
Lecturer: Prof. Moshe Sipper
Course Description
  • Each student will give a talk on a topic or a paper from the research literature.
  • Attendance is mandatory.
  • A partial list of papers/topics is given below — you're encouraged to suggest your own.
  • ​Presentation length: 45 minutes. 2 talks each week.
  • Please email me your presentation a few days before your talk.
  • Each student must submit a 1-paragraph summary, along with scores, for each of the 2 weekly talks. [scoring rubric: organization/25, knowledge/25, text/20, graphics/20, elocution/7, eye contact/3]
Topics
  • Local search algorithms
  • Genetic algorithms
  • Genetic programming
  • Evolution and games
  • Coevolution 
Some papers
Literature, vids, datasets, and other resources
Schedule (may change)
Mar 3/ Sipper + Nadav S
Mar 10/ Zvika H + Ron E
Mar 17/ Eyal S + Sagi S​
Mar 24/ pesach
Mar 31 / pesach
Apr 7/ Ido B​ + Sapir Z
Apr 14/ yom hazikaron
Apr 21/ Nir B + Mosheat A
Apr 28/ Itamar G + Erez A
May 5/ Tair H + Tomer D
May 12/ Omri H + Daniel K
May 19/ Gilad E + Alex G
May 26/ Amir B
Jun 2/ Tal O
Lectures
Nadav S, An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing
Zvika H, Genetic Improvement of Software / Grammar-based Genetic programming
Ron E, Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
Eyal S, Surviving the Tragedy of Commons: Emergence of Altruism in a Population of Evolving Autonomous Agents
Sagi S, Investigating the parameter space of evolutionary algorithms
Ido B, Novelty search for automatic bug repair
Sapir Z, Where are we now? a large benchmark study of recent symbolic regression methods
Nir B, Object detection
Mosheat A, Evolutionary algorithms converge towards evolved biological photonic structures
Itamar G, Evolutionary Techniques for Web Caching​
Erez A, Implication of Genetic Algorithm in Cryptography to Enhance Security
Tair H, Optimizing Question-Answering Systems Using Genetic Algorithms
Tomer D, Genetic Algorithm for Traveling Salesman Problem with Modified Cycle Crossover Operator
Omri H, Evolution & Games
Daniel K, Deep Neuroevolution: Genetic Algorithms are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
Gilad E, A fast and accurate approach for 3D image registration using the scatter search evolutionary algorithm
Amir B, Generating Natural Language Adversarial Examples
Tal O, Genetic algorithm-based clustering technique
​Alex G, MCTS/EA hybrid GVGAI players and game difficulty estimation