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Evolutionary Algorithms
Published on Feb 25, 200715078 Views
It has been a century and a half since Darwin provided the first mechanistic explanation for the complexity of the living things we see around us. Only in the last 30 years or so have computational sy
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Chapter list
Evolutionary Algorithms00:01
Genetic Algorithms03:53
Points of View04:25
A Canonical GA05:47
Outline06:18
E.g. Graph Colouring06:22
Initialise Population07:08
Evaluate Fitness07:44
Selection08:04
Mutation09:33
Mutation09:45
Mutation10:01
Crossover10:41
Cost of Crossover11:28
GA13:02
GA13:39
GA13:50
GA14:06
GA14:28
Outline15:24
Optimum population size15:40
Steady-state GA22:11
Generational versus Steady State23:49
Selection25:41
Ranking Selection27:28
Tournament Selection28:42
Boltzmann Selection30:35
Stochastic Universal Sampling (SUS)32:01
Genetic Operators34:30
Crossing Structured Graphs39:01
Mutation39:57
Recombination/Crossover43:19
Crossover Operators44:24
Bit Simulated Crossover45:35
Summary46:43