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genetic algorithms
simulated annealing
tabu search
colony optimization
particle swarm optimization
bayies optimization
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genetic algorithm optimization for neural network:
finish fitness.py
1. implement neural network forward prop code (WIP: Octave to Python)
2. integrate genetic.py
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Annealing optimization is really successful, but we would be very happy if you add Genetic Algorithm as soon as possible.
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I tried out the 'CTVsuggest' package, as requested by Achim Zeileis.
For the Optimization task view, it suggested the following packages:
CTVsuggest(taskview = "Optimization", n = 40)
When…
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- [x] Random Search
- [x] Greedy Search/Hill Climb
- [x] Simulated annealing (SA)
- [x] Basic Evolution Strategies (ES)
- [x] Genetic Algorithm (GA)
- [x] Particle Swarm Optimization (PSO)
- [x…
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The fitness routine has to be rewritten for the Genetic algorithms
![latex_1d54fbc2610f7ea81bab9265f228f962](https://cloud.githubusercontent.com/assets/8535734/9337129/b97d152c-45dd-11e5-92f5-c439a8c…
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Respected Sir,
I want to add more Evolutionary/Genetic Algorithms and its application in machine learning in your project. Presently Evolutionary or population based algorithms are used in various Mu…
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Weigh out the pro's and cons among different optimization techniques based on the expected scale of the integration scenarios that will be solved. Potential candidates are NLP( Nonlinear Programming) …
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**Is your feature request related to a problem? Please describe.**
Optimize the parameters of dividend capture strategies to maximize returns and minimize risks.
**Describe the solution you'd like…
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I see from your GitHub projects that you are interested in Python optimization. The authors of scipy have added a genetic algorithm for initial parameter estimation in curve fitting, the module is nam…