Comparison of optimization algorithms for the slow shot phase in HPDC

Frings, Markus; Berkels, Benjamin; Behr, Marek; Elgeti, Stefanie

doi:10.1063/1.5034962

Cited by 1 publication

(1 citation statement)

References 10 publications

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“…Moreover, because the player had full freedom when designing the function, we assumed that a derivative-free method was required. Thus, we used a constrained optimization by the linear approximation (COBYLA) algorithm ( [50]), which is currently the most efficient method (good results are obtained in a relatively short time [22]). This numerical optimization method is applicable when the derivative of the objective function is not known, and it works by iteratively approximating the constrained numerical optimization problem with linear programming problems.…”

Section: Automated Parameter Tuningmentioning

confidence: 99%

Modeling Biological Systems Using Crowdsourcing

Wasik

2018

Foundations of Computing and Decision Sciences

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Crowdsourcing is a very effective technique for outsourcing work to a vast network usually comprising anonymous people. In this study, we review the application of crowdsourcing to modeling systems originating from systems biology. We consider a variety of verified approaches, including well-known projects such as EyeWire, FoldIt, and DREAM Challenges, as well as novel projects conducted at the European Center for Bioinformatics and Genomics. The latter projects utilized crowdsourced serious games to design models of dynamic biological systems, and it was demonstrated that these models could be used successfully to involve players without domain knowledge. We conclude the review of these systems by providing 10 guidelines to facilitate the efficient use of crowdsourcing.

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Section: Automated Parameter Tuningmentioning

confidence: 99%

Modeling Biological Systems Using Crowdsourcing

Wasik

2018

Foundations of Computing and Decision Sciences

View full text Add to dashboard Cite

show abstract

Comparison of optimization algorithms for the slow shot phase in HPDC

Cited by 1 publication

References 10 publications

Modeling Biological Systems Using Crowdsourcing

Modeling Biological Systems Using Crowdsourcing

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