Datasets on statistical analysis and performance evaluation of backtracking search optimisation algorithm compared with its counterpart algorithms.

ABSTRACT: In this data article, we present the data used to evaluate the statistical success of the backtracking search optimisation algorithm (BSA) in comparison with the other four evolutionary optimisation algorithms. The data presented in this data article is related to the research article entitles 'Operational Framework for Recent Advances in Backtracking Search Optimisation Algorithm: A Systematic Review and Performance Evaluation' [1]. Three statistical tests conducted on BSA compared to differential evolution algorithm (DE), particle swarm optimisation (PSO), artificial bee colony (ABC), and firefly algorithm (FF). The tests are used to evaluate these mentioned algorithms and to determine which one could solve a specific optimisation problem concerning the statistical success of 16 benchmar

SUBMITTER: Hassan BA 

PROVIDER: S-EPMC6948123 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature