Tuneable Algorithm Parameters.

<p>Tuneable Algorithm Parameters.</p

Relative performance of the six algorithms on the modified <i>NK</i>-landscapes where λ<i> = </i>1000, N = 250, K = 5, r = 10 & burn-in = 20.

<p>Note that there a discontinuity in fitness where the algorithm switches from ‘global fitness’, F, to trait fitness, F'. <b>Key</b>: <b>A</b>. Mean Entropy Profile at Final Generation; <b>B</b>. Mean Fitness; <b>C</b>. Mean Fitness Rank; <b>D</b>. Mean Entropy; —— Breeder; —— Standard GA; —— Local Mating; —— Niching; —— EARL1; EARL2; Error bands are ±1 standard error  = ± stdev/√n.</p

Some evolutionary algorithms: F-Algorithms.

<p>Some evolutionary algorithms: F-Algorithms.</p

Relative performance of the six algorithms on the modified NK-landscapes where λ<i> = </i>1000, N = 100, K = 1, r = 10 & burn-in = 20.

<p>Note that there a discontinuity in fitness where the algorithm switches from ‘global fitness’, F, to trait fitness, F'. <b>Key</b>: <b>A</b>. Mean Entropy Profile at Final Generation; <b>B</b>. Mean Fitness; <b>C</b>. Mean Fitness Rank; <b>D</b>. Mean Entropy; —— Breeder; —— Standard GA; —— Local Mating; —— Niching; —— EARL1; EARL2; Error bands are ±1 standard error  = ± stdev/√n.</p

Relative performance of the six algorithms on the modified <i>NK</i>-landscapes where λ<i> = </i>10000, N = 250, K = 5, r = 10 & no burn-in.

<p><b>Key</b>: <b>A</b>. Mean Entropy Profile at Final Generation; <b>B</b>. Mean Fitness; <b>C</b>. Mean Fitness Rank; <b>D</b>. Mean Entropy; —— Breeder; —— Standard GA; —— Local Mating; —— Niching; —— EARL1; EARL2; Error bands are ±1 standard error  = ± stdev/√n.</p

Relative performance of the six algorithms on the modified <i>NK</i>-landscapes where λ<i> = </i>10000, N = 250, K = 5, r = 10 & burn-in = 20.

<p>Note that there a discontinuity in fitness where the algorithm switches from ‘global fitness’, F, to trait fitness, F'. <b>Key</b>: <b>A</b>. Mean Entropy Profile at Final Generation; <b>B</b>. Mean Fitness; <b>C</b>. Mean Fitness Rank; <b>D</b>. Mean Entropy; —— Breeder; —— Standard GA; —— Local Mating; —— Niching; —— EARL1; EARL2; Error bands are ±1 standard error  = ± stdev/√n.</p

Some evolutionary algorithms: G-algorithms.

<p>Some evolutionary algorithms: G-algorithms.</p

Parameter settings used in the <i>F</i> and <i>G</i> algorithms.

<p>Parameter settings used in the <i>F</i> and <i>G</i> algorithms.</p

Google Scholar search results, identified by http://scholar.google.com/scholar?q = mygrid.

<p>Google Scholar links out to external content using a number of methods including OpenURL <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000204#pcbi.1000204-Apps1" target="_blank">[89]</a>, shown here by the “Find it via JRUL” (JRUL is a local library) links. Unlike, e.g., WoK, it is relatively easy to create inbound links to individual authors and publications in Google Scholar; see text for details.</p

Mekentosj Papers can organize large collections of locally stored PDF files, with their metadata.

<p>It looks and feels much like the popular iTunes application, allowing users to manage their digital libraries by categories shown at the top. It is presently available only under Mac OS/X.</p