Lecture 8, Evolutionary Algorithms [Atsuto]
Tid: Torsdag 3 oktober 2013 kl 16:00 - 18:00
Plats: E1
Aktivitet: Föreläsning
Studentgrupper: TCSCM1-AS, TCSCM1-BER, TCSCM1-PRS, TCSCM1-SPR, TITMM2, TIVNM1, TKOMK3, TMAIM1, TMAIM1-BIO, TMAIM1-IR, TMAIM1-PC, TSCRM1, TSCRM2
Info:
Genetic Algorithms
Readings: Marsland, chapter 12
- In what way can evolution be regarded as an algorithm?
- What can be optimized using Genetic Algorithms?
- How are potential solutions represented?
- How do we represent the goal?
- Chromosomes, Populations and Generations
- What makes GA different from other optimization methods?
- What do we mean by Genetic Programming?
- What can go wrong?