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README.md

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```
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## Projects using scikit-opt
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# Projects using scikit-opt
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- [Heinrich, K., Zschech, P., Janiesch, C., & Bonin, M. (2021). Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning. Decision Support Systems, 113494.](https://www.sciencedirect.com/science/article/pii/S016792362100004X)

docs/en/README.md

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```
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## Projects using scikit-opt
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# Projects using scikit-opt
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- [Heinrich, K., Zschech, P., Janiesch, C., & Bonin, M. (2021). Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning. Decision Support Systems, 113494.](https://www.sciencedirect.com/science/article/pii/S016792362100004X)

docs/en/_coverpage.md

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> Powerful Python module for Heuristic Algorithms
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* Differential Evolution
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* Genetic Algorithm
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* Particle Swarm Optimization
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* Simulated Annealing
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* Ant Colony Algorithm
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* Immune Algorithm
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* [![PyPI](https://img.shields.io/pypi/v/scikit-opt)](https://pypi.org/project/scikit-opt/)
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[![Build Status](https://travis-ci.com/guofei9987/scikit-opt.svg?branch=master)](https://travis-ci.com/guofei9987/scikit-opt)
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[![codecov](https://codecov.io/gh/guofei9987/scikit-opt/branch/master/graph/badge.svg)](https://codecov.io/gh/guofei9987/scikit-opt)
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[![License](https://img.shields.io/pypi/l/scikit-opt.svg)](https://github.com/guofei9987/scikit-opt/blob/master/LICENSE)
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![Python](https://img.shields.io/badge/python->=3.5-green.svg)
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![Platform](https://img.shields.io/badge/platform-windows%20|%20linux%20|%20macos-green.svg)
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[![Downloads](https://pepy.tech/badge/scikit-opt)](https://pepy.tech/project/scikit-opt)
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* Differential Evolution, Genetic Algorithm
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* Particle Swarm Optimization, Simulated Annealing
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* Ant Colony Algorithm, Immune Algorithm
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* Artificial Fish Swarm Algorithm
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[GitHub](https://github.com/guofei9987/scikit-opt/)

docs/en/speed_up.md

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```
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output:
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>common mode, time costs: 5.284991
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vector mode, time costs: 0.608695
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>common mode, time costs: 5.284991
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vector mode, time costs: 0.608695
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parallel mode, time costs: 1.114424
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To compare the speed of **common** and **cached**:
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```
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output:
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>common mode, time costs: 6.29733
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>common mode, time costs: 6.29733
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cache mode, time costs: 0.308823
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docs/zh/README.md

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```
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## 使用本项目的论文
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# 使用本项目的论文
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- [Heinrich, K., Zschech, P., Janiesch, C., & Bonin, M. (2021). Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning. Decision Support Systems, 113494.](https://www.sciencedirect.com/science/article/pii/S016792362100004X)

docs/zh/_coverpage.md

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> 群体智能算法
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* 差分进化算法
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* 遗传算法
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* 粒子群算法
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* 模拟退火算法
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* 蚁群算法
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* 免疫优化算法
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* [![PyPI](https://img.shields.io/pypi/v/scikit-opt)](https://pypi.org/project/scikit-opt/)
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[![Build Status](https://travis-ci.com/guofei9987/scikit-opt.svg?branch=master)](https://travis-ci.com/guofei9987/scikit-opt)
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[![codecov](https://codecov.io/gh/guofei9987/scikit-opt/branch/master/graph/badge.svg)](https://codecov.io/gh/guofei9987/scikit-opt)
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[![License](https://img.shields.io/pypi/l/scikit-opt.svg)](https://github.com/guofei9987/scikit-opt/blob/master/LICENSE)
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![Python](https://img.shields.io/badge/python->=3.5-green.svg)
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![Platform](https://img.shields.io/badge/platform-windows%20|%20linux%20|%20macos-green.svg)
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[![Downloads](https://pepy.tech/badge/scikit-opt)](https://pepy.tech/project/scikit-opt)
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* 差分进化算法,遗传算法
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* 粒子群算法,模拟退火算法
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* 蚁群算法,免疫优化算法
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* 鱼群算法
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[GitHub](https://github.com/guofei9987/scikit-opt/)
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[开始](zh/README)
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docs/zh/speed_up.md

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output:
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>common mode, time costs: 5.284991
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vector mode, time costs: 0.608695
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>common mode, time costs: 5.284991
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vector mode, time costs: 0.608695
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parallel mode, time costs: 1.114424
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output:
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>common mode, time costs: 6.29733
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>common mode, time costs: 6.29733
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cache mode, time costs: 0.308823
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