Towards a component-based software architecture for genetic algorithms

Rodriguez, Leidy Garzon; Diosa, Henry Alberto; Rojas–Galeano, Sergio

doi:10.1109/columbiancc.2014.6955331

Cited by 3 publications

(1 citation statement)

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“…The initial result of the inception stage in the process was the Goldenberry-GA prescriptive architecture, which defined the platform-independent conceptual components of the GA prior to development (the interested reader is referred to [14] for details of such prescriptive architecture).…”

Section: Software Architecturementioning

confidence: 99%

Deconstructing GAs into Visual Software Components

Garzón-Rodriguez

Diosa

Rojas–Galeano

2015

Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

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We envisage Genetic Algorithms (GA) as search-based optimisation techniques encompassing independent bio-inspired operators and representations that are realizable as selfcontained deployable computational units. In other words, we think of GAs as a set of software components conforming to a formally-defined evolution-oriented composition model. Furthermore, we imagine such components being assembled on a visual programming-free board, much like prefabricated electronic chips are wired up to build electronic devices. Here we introduce Goldenberry-GA, a toolbox of visual software components complying with these premises that has been built over the Orange framework for data mining. The paper describes at user-level the suite of new released components (GeneticAlgorithm, InitialPopulation, SolutionRepresentation, Selection, Mutation, Crossover), including working examples that demonstrate some advantages of the reuse and extension principles of its underlying component-based software architecture. It also explains the composition model specification of the toolbox and the software design patterns that were taken into account during its development. A qualitative comparative study with similar Evolutionary Computation frameworks is reported so as to highlight strengths and weaknesses of the toolbox, as well as to point out directions for future work.Goldenberry-GA is open-source under the New BSD License. Downloading and installation guides are available at:

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Section: Software Architecturementioning

confidence: 99%