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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.

EXIficient is an open source implementation of the W3C Efficient XML Interchange (EXI) format specification written in the Java programming language. The EXI format is a very compact representation for the Extensible Markup Language (XML) Information Set that is intended to simultaneously optimize performance and the utilization of computational resources.

EXIficient is an open source implementation of the W3C Efficient XML Interchange (EXI) format specification written in the Java programming language. The EXI format is a very compact representation for the Extensible Markup Language (XML) Information Set that is intended to simultaneously optimize performance and the utilization of computational resources.

EXIficient is an open source implementation of the W3C Efficient XML Interchange (EXI) format specification written in the Java programming language. The EXI format is a very compact representation for the Extensible Markup Language (XML) Information Set that is intended to simultaneously optimize performance and the utilization of computational resources.

EXIficient is an open source implementation of the W3C Efficient XML Interchange (EXI) format specification written in the Java programming language. The EXI format is a very compact representation for the Extensible Markup Language (XML) Information Set that is intended to simultaneously optimize performance and the utilization of computational resources.

EXIficient is an open source implementation of the W3C Efficient XML Interchange (EXI) format specification written in the Java programming language. The EXI format is a very compact representation for the Extensible Markup Language (XML) Information Set that is intended to simultaneously optimize performance and the utilization of computational resources.

This plugin provides a framework and interface for a synchronization mechanism distributed to multiple server instances. In today's world of horizontal computational scale and massive concurrency, it becomes increasingly difficult to synchronize operations outside the context of a single computational space (server/process). This plugin aims to make that easier by providing a simple service to facilitate this, as well as defining an interface for adding low level providers.

We propose two efficient algorithms for exploring topic diversity in large document corpora such as user generated content on the social web, bibliographic data, or other web repositories. Analyzing diversity is useful for obtaining insights into knowledge evolution, trends, periodicities, and topic heterogeneity of such collections. Calculating diversity statistics requires averaging over the similarity of all object pairs, which, for large corpora, is prohibitive from a computational point of view. Our proposed algorithms overcome the quadratic complexity of the average pair-wise similarity computation, and allow for constant time (depending on dataset properties) or linear time approximation with probabilistic guarantees.