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Cell #1:
```
import numpy as np
import matplotlib.pyplot as plt
from docplex.mp.model import Model
from qiskit import BasicAer
from qiskit.algorithms import QAOA, NumPyMinimumEigens…
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Currently `sense` is only supported for a subset of algorithms. This breaks the common interface as some solvers solve min vs max. Furthermore, since `sense` is a kwarg for `OptimizationProblem` and n…
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OS: Windows 11
Hardware,: Core i7, 32GB RAM
IDE: Idea 2024.1.4
Plugin: 1.34.1
D is truly amazing, I thought it was impossible to beat C with O3 optimization and Core i7 vector instruction set s…
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In this issue I will show the progress of adding support for continuous parameter ranges in the search-space.
For most optimization algorithms it should be easy to add support for continuous parame…
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- Optimize AI algorithms and computational workflows to ensure scalability and efficiency in processing large volumes of user responses.
- Explore techniques such as distributed computing, parallel p…
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What do you think about implementing more EA algorithms from DEAP
![image](https://github.com/SimonBlanke/Gradient-Free-Optimizers/assets/38460810/68ea84e9-c709-47e6-a0a8-8b84866d2ce1)
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Based on the requirements and the existing TxtAI ecosystem, here's a proposed approach to develop LLM Integration for Knowledge Graph Enhancement:
1. Automatic Knowledge Graph Generation and Enrich…
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Please can you look into adding a callback function for optimization algorithms that is called at the end of each (outer / main) optimization loop / iteration.
I tried adding this myself, specificall…
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one optimization we can make is to run grid search when the search space is small (such as when we're comparing model types), and run evolutionary algorithm search (EAsearch) when the search space is …
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A Summary of the Google Zürich Algorithms & Optimization Workshop
Recently, we hosted a workshop on Algorithms and Optimization in our office in Zürich, with the goal of fostering collab…