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MOEADr - Component-Wise MOEA/D Implementation

Modular implementation of Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D) [Zhang and Li (2007), <DOI:10.1109/TEVC.2007.892759>] for quick assembling and testing of new algorithmic components, as well as easy replication of published MOEA/D proposals. The full framework is documented in a paper published in the Journal of Statistical Software [<doi:10.18637/jss.v092.i06>].

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moeadmultiobjective-optimization

6.39 score 23 stars 43 scripts 238 downloads

CAISEr - Comparison of Algorithms with Iterative Sample Size Estimation

Functions for performing experimental comparisons of algorithms using adequate sample sizes for power and accuracy. Implements the methodology originally presented in Campelo and Takahashi (2019) <doi:10.1007/s10732-018-9396-7> for the comparison of two algorithms, and later generalised in Campelo and Wanner (Submitted, 2019) <arxiv:1908.01720>.

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4.56 score 3 stars 24 scripts 226 downloads

ExpDE - Modular Differential Evolution for Experimenting with Operators

Modular implementation of the Differential Evolution algorithm for experimenting with different types of operators.

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4.53 score 2 stars 28 scripts 217 downloads

CALANGO - Comparative Analysis with Annotation-Based Genomic Components

A first-principle, phylogeny-aware comparative genomics tool for investigating associations between terms used to annotate genomic components (e.g., Pfam IDs, Gene Ontology terms,) with quantitative or rank variables such as number of cell types, genome size, or density of specific genomic elements. See the project website for more information, documentation and examples, and <doi:10.1016/j.patter.2023.100728> for the full paper.

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4.30 score 2 stars 4 scripts 206 downloads