Can’t See the Forest: Using an Evolutionary Algorithm to Produce an Animated Artwork

Trist, Karen; Ciesielski, Victor; Barile, Perry

doi:10.1007/978-3-642-11577-6_32

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…Experiment Two. Some literatures claimed that using the GA can generate art images [21,22]; in view of this, an interesting experiment using GA to generate the Mona Lisa's image is designed in this research. Taking 60 * 60 standard image of Mona Lisa as the comparison standard and the values of 60 * 60 pixels as design variables, a chromosome is made up of 360 genes, each of which has state of either 0 or 1; while 0 indicates that the pixel is white, 1 indicates that the pixel is black.…”

Section: Two Simulation Experiments Of Value Advantagementioning

confidence: 99%

Simulation Experiment Exploration of Genetic Algorithm’s Convergence over the Relationship Advantage Problem

Luo¹

2016

Mathematical Problems in Engineering

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Concentrating on the convergence analysis of Genetic Algorithm (GA), this study originally distinguishes two types of advantage sources: value advantage and relationship advantage. Accordingly, the quantitative feature, complete quantization feature, and the partial quantization feature in the fitness evaluation are proposed. Seven simulation experiments show that these two types of advantages have different convergence properties. For value advantage problems, GA has a good convergence. However, for a relationship advantage problem, only from the practical point of view, it is possible to get a feasible and even satisfactory solution through large-scale searching, but, in theory, however, the searching process is not convergent. Therefore, GA is not reliable to solve relationship advantage problems, to which most engineering problems involving combinatorial optimization belong. This study systematically shows convergence properties of “relationship advantage” through simulation experiments, which will be a new area for the further study on GA.

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Section: Two Simulation Experiments Of Value Advantagementioning

confidence: 99%

Simulation Experiment Exploration of Genetic Algorithm’s Convergence over the Relationship Advantage Problem

Luo¹

2016

Mathematical Problems in Engineering

View full text Add to dashboard Buy / Rent full text

show abstract

Can’t See the Forest: Using an Evolutionary Algorithm to Produce an Animated Artwork

Cited by 5 publications

References 4 publications

Simulation Experiment Exploration of Genetic Algorithm’s Convergence over the Relationship Advantage Problem

Simulation Experiment Exploration of Genetic Algorithm’s Convergence over the Relationship Advantage Problem

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