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Release new alpha version
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ChangeLog.md

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@@ -21,7 +21,7 @@ Different versions of mealpy in terms of passing hyper-parameters. So please car
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+ Add a "amend_position()" function in Optimizer class. This function will call two functions.
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+ bounded_position() from optimizer. This means for optimizer level (get in valid range of position)
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+ amend_position() from problem. This means for problem level (transform to the correct solution)
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+ Fix bugs coefficients in GWO-based optimizers.
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# Version 2.5.3

README.md

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# Installation
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### Install with pip
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### Install the stable (latest) version
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Install the [current PyPI release](https://pypi.python.org/pypi/mealpy):
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```sh
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$ pip install mealpy==2.5.3
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```
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### Install from source
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In case you want to install directly from the source code, use:
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### Install the alpha/beta version
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```sh
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$ pip install mealpy==2.5.4a4
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```
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### Install the pre-release version
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You can install pre-release directly from the source code:
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```sh
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$ git clone https://github.com/thieu1995/mealpy.git
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$ cd mealpy

mealpy/__init__.py

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# >>> print(f"Best solution: {best_position}, Best fitness: {best_fitness}")
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__version__ = "2.5.4-alpha.3"
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__version__ = "2.5.4-alpha.4"
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from .bio_based import (BBO, BBOA, BMO, EOA, IWO, SBO, SMA, SOA, SOS, TPO, TSA, VCS, WHO)
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from .evolutionary_based import (CRO, DE, EP, ES, FPA, GA, MA)

setup.py

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setup(
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name="mealpy",
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version="2.5.4-alpha.3",
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version="2.5.4-alpha.4",
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author="Thieu",
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author_email="[email protected]",
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description="MEALPY: An Open-source Library for Latest Meta-heuristic Algorithms in Python",

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