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GridVis: Visualisation of Island-Based Parallel Genetic Algorithms

Authors: Evelyne, Lutton; Hugo, Gilbert; Waldo, Cancino; Bach, Benjamin; Pierre, Parrend; Pierre, Collet;

GridVis: Visualisation of Island-Based Parallel Genetic Algorithms

Abstract

Island Model parallel genetic algorithms rely on various mi- gration models and their associated parameter settings. A fine under- standing of how the islands interact and exchange informations is an im- portant issue for the design of efficient algorithms. This article presents GridVis, an interactive tool for visualising the exchange of individuals and the propagation of fitness values between islands. We performed sev- eral experiments on a grid and on a cluster to evaluate GridVis' ability to visualise the activity of each machine and the communication flow between machines. Experiments have been made on the optimisation of a Weierstrass function using the EASEA language, with two schemes: a scheme based on uniform islands and another based on specialised islands (Exploitation, Exploration and Storage Islands).

Keywords

Human-Computer Interaction, Visualisation, EASEA, Grid model, Parallel evolutionary algorithms;lsland model;Visualisation;EASEA;Grid model, Parallel evolutionary algorithms, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Interface homme-machine, lsland model, algorithme, modélisation

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green