STNWeb: A new visualization tool for analyzing optimization algorithms
Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa
Abstract
STNWeb is a new web tool for the visualization of the behavior of optimization algorithms such as metaheuristics. It allows for the graphical analysis of multiple runs of multiple algorithms on the same problem instance and, in this way, it facilitates the understanding of algorithm behavior. It may help, for example, in identifying the reasons for a rather low algorithm performance. This, in turn, can help the algorithm designer to change the algorithm in order to improve its performance. STNWeb is designed to be user-friendly. Moreover, it is offered for free to the research community.
Topics & Concepts
Computer scienceVisualizationMetaheuristicAlgorithmOptimization algorithmData miningMathematical optimizationMathematicsMetaheuristic Optimization Algorithms ResearchAdvanced Multi-Objective Optimization AlgorithmsEvolutionary Algorithms and Applications