COSC 4P82 Seminar Schedule and Topics

Seminars are about 15 minutes in length, with a few minutes (max 5) for questions.
All seminars should be done in groups of 3.

If you send your slides, I can set them up with a link below.

Local access to seminar presentations.

Schedule

• Thursday March 21 : CANCELLED

• Monday March 25
  1. Hyperspectral Image Analysis Using Genetic Programming (Gideon Oludeyi, Kelvin Odinamadu, Hridoy Rahman)
  2. Lamarckian Evolution and the Baldwin Effect (Vinit Udasi, Shubham Nileshbhai Amrelia, Vishistha Sharma)
  3. GP-based video game player (Parth Patel, QiQi Gao)

• Thursday March 28
  1. Stock Prediction using GP (Vuvraj Sehgal, Vivek Salwan, Yukin Hu)
  2. Evolving driving controllers using GP (Zakir Raza, Ahmed Aboueldahab, Lance Brown)
  3. Cartesian Genetic Programming (Andrew Pauls, Hamza Sidat, Bilal Bilal)
  4. GP and music (Monty Oshinov, Raj Randhawa, ???)

• Monday April 1
  1. Coevolution topic (Devaan Zastrow, Guevara Ibish, Steven Putter)
  2. GP and CUDA acceleration (Maulik Mann, Jaden Kuhn, Shije Tong)
  3. Robotic Soccer Player Strategies (Jenny Ma, Nikos Dritsakos, Justin Bai)
  4. Behaviour Tree Evolution by GP (Michael Noyes, Mew Tanglimsmarnsuk, Rifat Chowdhury)

• Thursday April 4
  1. Pyramid Search in GP (Thanushan Pirapakaran, Adrian Binu, Brett Terpstra)
  2. Stock Market Prediction Using Multi-Gene GP (Cole Corbett, Cameron Carvalho, Quinn Guernsey)
  3. Towards Human-Competitive Game Playing for Complex Board Games with GP (Rafael Bocsa, Nico McFarlane, Sam Onaboulu)
  4. GP for NLP text prediction (Robert Morabito, Tyler McDonald, Robbie Pierik)

Topics

Here is a very broad list of research areas to help you find a seminar topic.
Most are too general to be seminar topics, and so you will need to find one specific research paper or topic within them.
Please run your topic by me before preparing for it.
Also check out the GP Bibliography for GP papers in these and other topic areas.

Please ensure that your topic involves genetic programming (and not genetic algorithms or other evolutionary algorithm).

• Genetic programming and...
  • Parallelism
  • Distributed
  • Niching and speciation
  • Multiobjective
  • Diversity search, novelty search.
  • Hybrid evolution (eg. memetic algorithms)
  • GPs with diploidy, dominance
  • Mutation and GP
  • Lamarckian evolution
  • The Baldwin Effect
  • Estimation of Distribution Algorithms (EDA) for GP
  • Deep learning and evolution.
  • Linear encoding
  • Cellular encoding
  • Machine language
  • Cartesian genetic programming
  • Semantic GP
  • Grammatical
  • Bloat control
  • Co-evolution and parasites
  • Visualization and interfaces
  • GPUs and CUDA.
  • Landscape analysis
  • Tree initialization
  • Effects of random number generator quality on GP
  • Comparing GP with other algorithms (search, neural networks, ...)
  • Advanced training strategies
  • Multi-classification

• Applications
  • Software engineering
  • Computer science
  • Artificial Life (Alife)
  • Evolutionary design
  • Scientific and engineering applications
  • Finance
  • Bioinformatics
  • Computer games: AI, asset generation
  • Music
  • Art and graphics
  • Robotics

Back to COSC 4P82 home page.