Showing 4 of total 4 results (show query)
jakobbossek
smoof:Single and Multi-Objective Optimization Test Functions
Provides generators for a high number of both single- and multi- objective test functions which are frequently used for the benchmarking of (numerical) optimization algorithms. Moreover, it offers a set of convenient functions to generate, plot and work with objective functions.
Maintained by Jakob Bossek. Last updated 1 years ago.
benchmark-functionsmulti-objective-optimizationsingle-objective-optimizationcpp
36 stars 8.54 score 261 scripts 9 dependentsjakobbossek
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 4 years ago.
combinatorial-optimizationgraph-generatorminimum-spanning-treemulti-objective-optimizationoptimization
9 stars 6.04 score 27 scripts 1 dependentsjakobbossek
mcMST:A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem
Algorithms to approximate the Pareto-front of multi-criteria minimum spanning tree problems.
Maintained by Jakob Bossek. Last updated 2 years ago.
evolutionary-algorithmsmcmstminimum-spanning-treesmulti-objective-optimizationspanningtrees
4 stars 4.73 score 27 scripts