'Fitness landscapes' presentation slideshows

Non Symbolic AI - Lecture 14

645 views • 51 slides

Non Symbolic AI - Lecture 14

525 views • 51 slides

Artificial Life Lecture 13

514 views • 36 slides

Artificial Life Lecture 12

360 views • 36 slides

Artificial Life Lecture 13

372 views • 36 slides

Evolutionary Algorithms

Evolutionary Algorithms. BIOL/CMSC 361: Emergence Lecture 4/03/08. Evolutionary Algorithms. A type of computation that involves a mechanism inspired by the process of biological evolution Population based Optimization Search for greatest fitness Metaheuristic : “beyond” heuristic

631 views • 31 slides

Fitness landscapes; LTEE

420 views • 29 slides

Fitness landscapes and coevolution: from physics to biology

Fitness landscapes and coevolution: from physics to biology. Frances Taschuk March 24, 2008. Fitness landscapes. Peaks represent local fitness maxima Here: fitness relates to feeding efficiency of crossbills on different conifers. Kauffman and Johnsen. Rugged multipeaked fitness landscapes

379 views • 16 slides

Fitness landscapes and coevolution: from physics to biology

Fitness landscapes and coevolution: from physics to biology. Frances Taschuk March 24, 2008. Fitness landscapes. Peaks represent local fitness maxima Here: fitness relates to feeding efficiency of crossbills on different conifers. Kauffman and Johnsen. Rugged multipeaked fitness landscapes

177 views • 16 slides

Evolvability

Stephan Hoyer Physics 120 seminar March 28, 2008. Evolvability. What is evolvability?. Two definitions: A biological system is evolvable if its properties show heritable genetic variation, and if natural selection can thus change these properties

113 views • 11 slides