Multiobjective Genetic Algorithm

Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.

GODLIKE (Global Optimum Determination by Linking and Interchanging Kindred Evaluators) is a generization of various population-based global optimization schemes. Also, it handles both single- and multi-objective optimization, simply by adding additional objective functions.GODLIKE solves...

The purpose of Input Shaping is to filter out big changes (typically steps) in the reference signal of a closed-loop system which excite all the modes of the plant causing relevant snap overshoots and oscillations in the response.The underlying working principle is to apply the step in subsequent...


Platforms: Matlab

Dynamic Bayesian networks (DBN) are widely applied in modeling various biological networks, including the gene regulatory network. Due to several NP-hardness results on learning static Bayesian network, most methods for learning DBN are heuristic, that employ either local search such as greedy...


Platforms: Matlab

ECsPy (Evolutionary Computations in Python) is a free, open source framework for creating evolutionary computations in Python. Additionally, ECsPy provides an easy-to-use canonical genetic algorithm (GA), evolution strategy (ES), estimation of distribution algorithm (EDA), differential evolution...


Platforms: *nix

Optimization Algorithm Toolkit is a workbench and toolkit for developing, evaluating, and playing with classical and state-of-the-art optimization algorithms on standard benchmark problem domains; including reference algorithm implementations, graphing, visualizations and much more. The project...


Platforms: *nix

These files are the MATLAB code for "Imperialist Competitive Algorithm (ICA)" which in some papers is referred by "Colonial Competitive Algorithm CCA".Evolutionary optimization methods, inspired from natural processes, have shown good performance in solving complex optimization problems. For...


Platforms: Matlab

Algorithm::Dependency is a base class for implementing various dependency trees. SYNOPSIS use Algorithm::Dependency; use Algorithm::Dependency::Source::File; # Load the data from a simple text file my $data_source = Algorithm::Dependency::Source::File->new( foo.txt ); # Create the...


Platforms: *nix

Algorithm::Knapsack is a brute-force algorithm for the knapsack problem. SYNOPSIS use Algorithm::Knapsack; my $knapsack = Algorithm::Knapsack->new( capacity => $capacity, weights => @weights, ); $knapsack->compute(); foreach my $solution ($knapsack->solutions()) { foreach my $index...


Platforms: *nix

Algorithm::DiffOld is a Perl module to compute `intelligent differences between two files / lists but use the old (<=0.59) interface. NOTE This has been provided as part of the Algorithm::Diff package by Ned Konz. This particular module is ONLY for people who HAVE to have the old interface,...


Platforms: *nix

Algorithm::Loops is a Perl module with looping constructs: NestedLoops, MapCar*, Filter, and NextPermute*. SYNOPSYS use Algorithm::Loops qw( Filter MapCar MapCarU MapCarE MapCarMin NextPermute NextPermuteNum NestedLoops ); my @copy= Filter {tr/A-Z.,"()/a-z/d} @list; my $string= Filter...


Platforms: *nix

Algorithm::Diff::Apply is a Perl module to apply one or more Algorithm::Diff diffs. SYNOPSIS ## Single-diff form: use Algorithm::Diff::Apply qw{apply_diff}; my @ary = ...; my @diff = ...; # some call to Algorithm::Diff::diff() my @changed_ary = apply_diff(@ary, @diff); my $changed_ary =...


Platforms: *nix

Algorithm::BinPack is a Perl module that can efficiently pack items into bins. SYNOPSIS Algorithm::BinPack efficiently packs items into bins. The bins are given a maximum size, and items are packed in with as little empty space as possible. An example use would be backing up files to CD,...


Platforms: *nix

Algorithm::Permute is a Perl module with handy and fast permutation with object oriented interface. SYNOPSIS use Algorithm::Permute; my $p = new Algorithm::Permute([a..d]); while (@res = $p->next) { print join(", ", @res), "n"; } my @array = (1..9); Algorithm::Permute::permute { print...


Platforms: *nix

Algorithm::SISort is a Perl module that contains select and insert sorting algorithm. SYNOPSIS use Algorithm::SISort qw(Sort Sort_inplace); @sorted_list = Sort {$_[0] <=> $_[1]} @unsorted_list; # ... or ... $number_of_comparisons = Sort_inplace {$_[0] <=> $_[1]} @unsorted_list; This...


Platforms: *nix

Algorithm::Merge is a Perl module package that provides three-way merge and diff. SYNOPSIS use Algorithm::Merge qw(merge diff3 traverse_sequences3); @merged = merge(@ancestor, @a, @b, { CONFLICT => sub { } }); @merged = merge(@ancestor, @a, @b, { CONFLICT => sub { } },...


Platforms: *nix

Algorithm::Huffman is a Perl extension that implements the Huffman algorithm. SYNOPSIS use Algorithm::Huffman; my %char_counting = map {$_ => int rand(100)} (a .. z, A .. Z); # or better the real counting for your characters # as the huffman algorithm doesnt work good with random data...


Platforms: *nix

Algorithm::Networksort can create inline comparisons for sorting. SYNOPSIS use Algorithm::Networksort qw(:all); my $inputs = 4; # # Generate the network (a list of comparators). # my @network = nw_comparators($inputs); # # Print the list, and print the graph of the list. # print...


Platforms: *nix

Algorithm::SocialNetwork is a social network analysis. SYNOPSIS use Graph::Undirected; use Algorithm::SocialNetwork; my $G = Graph::Undirected->new(); $G->add_edges([qw(a b)], [qw(b c)]); my $algo = Algorithm::SocialNetwork->new(graph => $G3); my $BC = $algo->BetweenessCentrality(); #...


Platforms: *nix

Algorithm::Diff is a Perl module to compute `intelligent differences between two files / lists. SYNOPSIS require Algorithm::Diff; # This example produces traditional diff output: my $diff = Algorithm::Diff->new( @seq1, @seq2 ); $diff->Base( 1 ); # Return line numbers, not indices...


Platforms: *nix