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update readme for v4.3
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SimonBlanke committed Nov 18, 2022
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<br>

## What's new?
- ### 18.11.2022 v4.3.0 with three new optimization algorithms (Spiral Optimization, Lipschitz Optimizer, DIRECT Optimizer)
- ### 04.05.2022 v4.2.0 with support of handling Exceptions and Callbacks

<br>
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<ul>
<li><a href="./examples/optimization_techniques/bayesian_optimization.py">Bayesian Optimization</a></li>
<li>Lipschitz Optimization</li>
<li>DirectAlgorithm</li>
<li><a href="./examples/optimization_techniques/tpe.py">Tree of Parzen Estimators</a></li>
<li><a href="./examples/optimization_techniques/forest_optimization.py">Forest Optimizer</a>
[<a href="#/./overview#references">dto</a>] </li>
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<details>
<summary><b> .add_search(objective_function, search_space, n_iter, optimizer, n_jobs, initialize, pass_through, callbacks, catch, max_score, early_stopping, random_state, memory, memory_warm_start, progress_board)</b></summary>
<summary><b> .add_search(objective_function, search_space, n_iter, optimizer, n_jobs, initialize, pass_through, callbacks, catch, max_score, early_stopping, random_state, memory, memory_warm_start)</b></summary>


- objective_function
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- EvolutionStrategyOptimizer
- BayesianOptimizer
- LipschitzOptimizer
- DirectAlgorithm
- TreeStructuredParzenEstimators
- ForestOptimizer

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</table>


- progress_board = None
- Possible parameter types: (initialized ProgressBoard object, None)
- Initialize the ProgressBoard class and pass the object to the progress_board-parameter.


</details>


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</details>

<details>
<summary><b>v4.3.0</b> </summary>
<summary><b>v4.3.0</b> :heavy_check_mark:</summary>

- [ ] add new features from GFO
- [x] add new features from GFO
- [x] add Spiral Optimization
- [x] add Lipschitz Optimizer
- [x] add DIRECT Optimizer
- [ ] print the random seed for reproducibility
- [x] print the random seed for reproducibility

</details>

<details>
<summary><b>v4.4.0</b> </summary>

- [ ] ...

</details>



<details>
<summary><b>Upcoming Features</b></summary>

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