Showing 4 of total 4 results (show query)
mhahsler
seriation:Infrastructure for Ordering Objects Using Seriation
Infrastructure for ordering objects with an implementation of several seriation/sequencing/ordination techniques to reorder matrices, dissimilarity matrices, and dendrograms. Also provides (optimally) reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT). Hahsler et al (2008) <doi:10.18637/jss.v025.i03>.
Maintained by Michael Hahsler. Last updated 3 days ago.
combinatorial-optimizationordinationseriationfortran
77 stars 14.11 score 640 scripts 79 dependentsmhahsler
qap:Heuristics for the Quadratic Assignment Problem (QAP)
Implements heuristics for the Quadratic Assignment Problem (QAP). Although, the QAP was introduced as a combinatorial optimization problem for the facility location problem in operations research, it also has many applications in data analysis. The problem is NP-hard and the package implements a simulated annealing heuristic.
Maintained by Michael Hahsler. Last updated 7 months ago.
combinatorial-optimizationheuristicqapquadratic-assignment-problemfortran
6 stars 7.75 score 7 scripts 80 dependents
jakobbossek
ecr:Evolutionary Computation in R
Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.
Maintained by Jakob Bossek. Last updated 2 years ago.
combinatorial-optimizationevolutionary-algorithmevolutionary-algorithmsevolutionary-strategygenetic-algorithm-frameworkmetaheuristicsmulti-objective-optimizationoptimizationoptimization-frameworkcpp
43 stars 7.36 score 89 scripts 2 dependentsjakobbossek
grapherator:A Modular Multi-Step Graph Generator
Set of functions for step-wise generation of (weighted) graphs. Aimed for research in the field of single- and multi-objective combinatorial optimization. Graphs are generated adding nodes, edges and weights. Each step may be repeated multiple times with different predefined and custom generators resulting in high flexibility regarding the graph topology and structure of edge weights.
Maintained by Jakob Bossek. Last updated 3 years ago.
combinatorial-optimizationgraph-generatorminimum-spanning-treemulti-objective-optimizationoptimization
9 stars 6.04 score 27 scripts 1 dependents