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This package contains Java code to reproduce the experiments of the following conference paper: Vincent A. Cicirello. 2023. A Survey and Analysis of Evolutionary Operators for Permutations. Proceedings of the 15th International Joint Conference on Computational Intelligence, pages 288-299. https://doi.org/10.5220/0012204900003595.

This package contains Java code to reproduce the experiments of the following article: Vincent A. Cicirello. 2023. An Analysis of an Open Source Binomial Random Variate Generation Algorithm, Engineering Proceedings, 56(1), Article 86, October 2023. doi:10.3390/ASEC2023-15349.

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 package contains several example programs of the usage of the Chips-n-Salsa library. Chips-n-Salsa is a Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms. Chips-n-Salsa's source code is maintained on GitHub, and the prebuilt jars of the library can be imported from Maven Central using maven or other build tools. The purpose of the package chips-n-salsa-examples is to demonstrate usage of the major functionality of the Chips-n-Salsa library. You can find out more about the Chips-n-Salsa library itself from its website: https://chips-n-salsa.cicirello.org/.

This package contains several example programs of the usage of the JavaPermutationTools (JPT) library. JPT is a Java library that enables representing and generating permutations and sequences, as well as performing computation on permutations and sequences. It includes implementations of a variety of permutation distance metrics as well as distance metrics on sequences (i.e., Strings, arrays, and other ordered data types). In addition to programs demonstrating the usage of the JPT library, the jpt-examples package also contains programs for replicating the experiments from a few published papers that utilized the library or implementations on which the library is based. JPT's source code is maintained on GitHub, and the prebuilt jars of the library can be imported from Maven Central using maven or other build tools. The purpose of the package jpt-examples is to demonstrate usage of the major functionality of the JPT library. You can find out more about the JPT library itself from its website: https://jpt.cicirello.org/.