Experiment data for metaheuristic search behaviour calculation

Contains experiment data for six simple variations of particle swarm optimisation (PSO) algorithms, run on 18 benchmark functions. For use in a research paper (to be published). Use of this data is given in the supplementary material of the paper. In short, it contains data collected during the optimisation process that is intended to calculate search behaviour indicators. The indicators can be compared in reference to the different PSOs, which have specific differences that should be reflected in the search behaviour indicators. Based on whether these differences can be observed in the search behaviour indicators, it can be determined whether the indicators are effective. Instructions: Once decompressed (tar -xvzf raw_results.tar.gz), the folder structure is as follows: <experiment_name>/<problem dimension>/<population size>/<iterations>/<benchmark function>/<PSO>/<control parameters>/<run>/ Inside each of these folders, is a number of files for the calculation of search behaviour indicators. The GitHub repository linked below details how these are used to calculate indicators.