Setting up the Target Problem: | Setting up MOEADr | Visualizing the results | A more complex example

Introduction | Assembling an instance list | Adaptation of an existing algorithm implementation | Running an experiment using CAISEr

Fine tuning setup | irace configuration | Results | Recommendations

General parameters | annotation.files.dir | output.dir | dataset.info | x.column | short.name.column | group.column | ontology | dict.path | column | denominator.column | tree.path | tree.type | type | MHT.method | cores | Cutoff values | spearman.qvalue.cutoff | pearson.qvalue.cutoff | kendall.qvalue.cutoff | linear_model.qvalue.cutoff | spearman.cor.lower.cutoff / spearman.cor.upper.cutoff | pearson.cor.lower.cutoff / pearson.cor.upper.cutoff | kendall.cor.lower.cutoff / kendall.cor.upper.cutoff | sd.cutoff | cv.cutoff | annotation_size.cutoff | prevalence.cutoff | heterogeneity.cutoff | Advanced configurations | raw_data_sd_filter

Introduction | Problem structure | Objective Functions Routine | Constraint Functions Routine

Creating a new operator | Testing the new operator

Introduction | General guidelines | Nomenclature | Important variables defined in the package | Contributing to the modules | Decomposition strategies | Other guidelines and requirements: | Example file | Scalar aggregation functions | Neighborhood assignment options | Variation operators | Example files | Update strategies | Constraint handling methods | Objective scaling | Termination Criteria