parallel-pso-spark

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parallel-pso-spark

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Parallel Particle Swarm Optimizer on the Spark Clustering Computing Platform.

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# parallel-pso-spark

**Spark-based Parallel Particle Swarm Optimizer for Computationally Expensive Continuous Function Optimization.**

This is an open-source GitHub project complementary to the conference paper, which has been submitted to [PPSN 2018](http://ppsn2018.dei.uc.pt/) (accepted).

## How to Run

**Prerequisites**: you should have some basic knowledge of both the *Scala* programming langauge and the *Spark* clustering computing framework. Otherwise, we strongly encourage you to refer to [the Scala office website](http://www.scala-lang.org/) and [the Spark office website](http://spark.apache.org/) for more details. Don't worry, we also provide some practical guidance to make the usage of the *parallel-pso-spark* library easy as soon as possible. **If any questions, please don't hesitate to contact us (email: duanqq257@qq.com)**.

First, you should have a Spark commodity cluster available. Considering the complexity of building a private Spark commodity cluster, we provide a practical guidance to install it on CentOS, as presented below:

[English version](https://github.com/QiqiDuan257/parallel-pso-spark/blob/master/How-to-Install-Spark-on-CentOS7-English.md) or [Chinese version](https://github.com/QiqiDuan257/parallel-pso-spark/blob/master/How-to-Install-Spark-on-CentOS7-Chinese.md)

If you aleady have a Spark commodity cluster available, we suggest you to use [IntelliJ IDEA](https://www.jetbrains.com/idea/), probably the best IDE to run the Java, Scala, and Spark source code. Considering the complexity of both Scala and Spark to newcomers, we provide a practical guidance to run the Spark program on the WINDOWS development environment, which can automatically invoke the remote Spark commodity cluster, as presented below:

[English version](https://github.com/QiqiDuan257/parallel-pso-spark/blob/master/How-to-Develop-Spark-Applications-on-Windows10-Using-IntelliJ-IDEA-English.pdf) or [Chinese version](https://github.com/QiqiDuan257/parallel-pso-spark/blob/master/How-to-Develop-Spark-Applications-on-Windows10-Using-IntelliJ-IDEA-Chinese.pdf)

parallel-pso-spark

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