CS
667
Optimization Algorithms
- What are evolutionary algorithms (EA)?
- NOT neural networks
- Use long time biological intelligence
- Key ideas from biological evolution
- Stochastic algorithms
- Populations and generations
- Basic elements
- reproduction with genetic combination
- mutation
- survival of the fittest
- Genetic algorithms (GA)
- Specific kind of EA
- Coding of problem
- Genetic recombination (crossover)
- Low probability genetic mutation
- Fittest survive to next generation
- Iteration
- GA examples
- Solving equations
- Optimization
- Game playing
- Genetic programming (GP)
- Training MLPs
- Neural networks for optimization
- Analog Hopfield network
- From graded neurons to discrete ones
- Solving the TSP
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