Evolutionary methods, Other Engineering

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Evolutionary Methods
  • Optimization methods based upon natural or biological processes
  • Need to be able to parameterise a solution and determine a cost function (good or bad solution?)
  • No need to find gradients No need to find gradients
  • Directed random search
  • Not guaranteed to find the exact optimum
  • Wide range of uses
  • Particularly good when cost calculation is small, constraints exist and function is non continuous.

Methods considered
- Genetic Algorithms (binary)
- Genetic Algorithms (real)
- Population Based Incremental Learning
- Particle Swarm Optimisation
- Particle Swarm Optimisation
- Evolutionary Growth
- Ant Colony Optimisation
• Other common methods
- Simulated Annealing
- Bacterial Optimisation
- Evolutionary Programming


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