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This package contains Java programs for reproducing the experiments, and analysis of experimental data, from the following article: Cicirello, V.A. On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection. Mobile Networks and Applications (2022). https://doi.org/10.1007/s11036-022-02060-z.

This package contains Java programs for reproducing the experiments, and analysis of experimental data, from the following article: Vincent A. Cicirello. 2022. Cycle Mutation: Evolving Permutations via Cycle Induction. Applied Sciences, 12, 11, Article 5506 (June 2022). https://doi.org/10.3390/app12115506. Also available at: https://www.cicirello.org/publications/applsci-12-05506.pdf

This package contains Java programs for reproducing the experiments, and analysis of experimental data, from the following article: Vincent A. Cicirello. 2021. Self-Tuning Lam Annealing: Learning Hyperparameters While Problem Solving. Applied Sciences, 11, 21, Article 9828 (November 2021). https://doi.org/10.3390/app11219828. Also available at: https://www.cicirello.org/publications/applsci-11-09828.pdf

This package contains Java programs for reproducing the experiments, and analysis of experimental data, from the following journal article: Vincent A. Cicirello. 2020. Optimizing the Modified Lam Annealing Schedule. Industrial Networks and Intelligent Systems, 7(25), Article e1 (December 2020). https://doi.org/10.4108/eai.16-12-2020.167653. The full text of this article is also available at: https://www.cicirello.org/publications/eai.16-12-2020.167653.pdf.

This project is a collection of miscellaneous tools shared by a number of projects of the same author. There are **simple tuples** to use with Java Streams, **type-safe maps** ([inspired by the heterogeneous map pattern](https://www.informit.com/articles/article.aspx?p=2861454&seqNum=8)) described in Effective Java by Joshua Bloch, a **finder** that handles in a smart way queries to data sources, a facility to use the **DCI (Data, Context and Interactions) architectural pattern**, a simple **message bus** suitable for using the pub-sub pattern inside an application, some **test utilities**, an **experimental actor framework** and a few other small things. The project name is a tribute to the [jazz standard with the same name](https://en.wikipedia.org/wiki/These_Foolish_Things_(Remind_Me_of_You)) by Maschwitz and Strachey.

The boilerpipe library provides algorithms to detect and remove the surplus "clutter" (boilerplate, templates) around the main textual content of a web page. The library already provides specific strategies for common tasks (for example: news article extraction) and may also be easily extended for individual problem settings. Extracting content is very fast (milliseconds), just needs the input document (no global or site-level information required) and is usually quite accurate. Boilerpipe is a Java library written by Christian Kohlschütter. It is released under the Apache License 2.0. The algorithms used by the library are based on (and extending) some concepts of the paper "Boilerplate Detection using Shallow Text Features" by Christian Kohlschütter et al., presented at WSDM 2010 -- The Third ACM International Conference on Web Search and Data Mining New York City, NY USA.