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- [ ] Refactor gwo_swarms to eliminate copy of pyswarm base class
- [ ] Consider need to implement intermediate class of SwarmOptimizer
- [ ] Ensure GlobalBestGWO implements regardless of previous c…
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**Title:**
Support new natural inspired algorithm - Grey Wolf Optimizer (GWO).
**Objective:**
To Support GWO algorithm in jMetalCPP Core.
**Motivation:**
Based on NFL theorem (no free lunch …
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**New algorithms** are needed, and the following are good places to start:
- [ ] Firefly algorithm, chaotic version (Gandomi, A. H. et al. (2013) ‘Firefly algorithm with chaos’, Communications in …
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More to include:
- scikit.optimize ... others
- gpyopt
- spearmint
- nevergrad
- https://docs.ray.io/en/latest/tune/
- https://github.com/topics/grey-wolf-optimizer
- https://github.com/Axel…
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Transfering list from https://github.com/microprediction/timemachines/issues/4
-https://github.com/gdikov/hypertunity (wraps gpyopt)
https://github.com/google/jax/blob/master/benchmarks/benchmar…
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Implement different metaheuristics strategies like single solution metaheuristics (trajectory methods like hill-climbing) and population-based metaheuristics (Differential Evolution, PSO, etc.) and vi…
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Hello,
what is the **reference paper** for this repo?
Best.
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Im rather new to optimisation so forgive me if i sound confused. But ive been trying out gwo with ackley function
population = 50
dimension = 30
position_min = -15
position_max = 30
generation…
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As the title says, training lora for sdxl on 4090 is painfully slow. It needs at least 15-20 seconds to complete 1 single step, so it is impossible to train. i dont know whether i am doing something w…