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Les algorithmes génétiques - JM Alliot
Un article de Wikipédia, l'encyclopédie libre. Origines[modifier | modifier le code] La popularisation des algorithmes génétiques sera l'œuvre de David Goldberg à travers son livre Genetic Algorithms in Search, Optimization, and Machine Learning[1] (1989).

Algorithme génétique

Algorithme génétique
Discussion These pages show 8 different sorting algorithms on 4 different initial conditions. These visualizations are intended to: Show how each algorithm operates. Show that there is no best sorting algorithm. Sorting Algorithm Animations

Sorting Algorithm Animations

» A Speculative Post on the Idea of Algorithmic Authority Clay Shirky Jack Balkin invited me to be on a panel yesterday at Yale’s Information Society Project conference, Journalism & The New Media Ecology, and I used my remarks to observe that one of the things up for grabs in the current news environment is the nature of authority. In particular, I noted that people trust new classes of aggregators and filters, whether Google or Twitter or Wikipedia (in its ‘breaking news’ mode.) I called this tendency algorithmic authority. » A Speculative Post on the Idea of Algorithmic Authority Clay Shirky
Un article de Wikipédia, l'encyclopédie libre. L'algorithmique est l’ensemble des règles et des techniques qui sont impliquées dans la définition et la conception d'algorithmes, c'est-à-dire de processus systématiques de résolution d'un problème permettant de décrire les étapes vers le résultat. En d'autres termes, un algorithme est une suite finie et non-ambiguë d’instructions permettant de donner la réponse à un problème. Si les instructions d'un algorithme s’exécutent les unes après les autres, l'algorithme est dit séquentiel, si elles s’exécutent en même temps, il est parallèle. Algorithmique Algorithmique
Optimisation et algorithmes génétiques -
The Algorithmic Origins of Life - Sara Walker (SETI Talks)
Laboratory for Web Algorithmics Laboratory for Web Algorithmics The Laboratory for Web Algorithmics (LAW) was established in 2002 at the Dipartimento di Scienze dell'Informazione (now merged in the Computer Science Department) of the Università degli studi di Milano. The LAW is part of the NADINE FET EU project. Research at LAW concerns all algorithmic aspects of the study of the web and of social networks.
Relevant details can be downloaded here: Book 1: Parallel Processing in a Control Systems Environment, E Rogers & Y Li, Prentice Hall Series on Systems and Control Engineering, 1993, 364 pp, ISBN 0-13-651530-4. Book 2: Real-World Applications of Evolutionary Computing, S Cagnoni, R Poli, & Y Li, et al, Springer-Verlag Lecture Notes in Computer Science, 2000, 396 pp, Volume 1803/2000, Berlin, ISSN 0302-9743, ISBN 978-3-540-67353-8, DOI 10.1007/3-540-45561-2. Click here for PhD projects in I Click here for PhD projects in I
(Credit: BYU Photo) BYU engineer Dah-Jye Lee has created an algorithm that can accurately identify objects in images or video sequences — without human calibration. “In most cases, people are in charge of deciding what features to focus on and they then write the algorithm based off that,” said Lee, a professor of electrical and computer engineering. “With our algorithm, we give it a set of images and let the computer decide which features are important.” Humans need not apply A smart-object recognition algorithm that doesn’t need humans A smart-object recognition algorithm that doesn’t need humans
Network Science

Complex systems made simple Albert-László Barabási and Yang-Yu Liu, together with their collaborator Jean-Jacques Slotine at M.I.T., have developed a method for observing large, complex systems. In the image above, red dots represent sensor nodes, which are required to reconstruct the entire internal state of one such system. Image by Mauro Martino. Complex systems made simple
Pinterest’s Founder: Algorithms Don’t Know What You Want Pinterest’s Founder: Algorithms Don’t Know What You Want In 2012 the startup Pinterest became a peer of more established social sites by offering things that they didn’t—an attractive design, a focus on images rather than text, and a mostly female population of users. On Pinterest, people use virtual “pinboards” to curate collections of images related to their hobbies and interests, discovering new items for their virtual hoards on the boards of friends and in the site’s personalized recommendations. Tom Simonite, MIT Technology Review’s senior IT editor, recently spoke with Ben Silbermann, Pinterest’s cofounder and CEO, about the company’s popularity. What was the need you were trying to fill when you created Pinterest? We started making Pinterest around 2009, when there was a lot of attention being paid to social services that were focused on real-time text-based feeds like Facebook and Twitter. We felt the things that we enjoyed doing in the real world were hard to express in that format.
The Rise of the Algorithmic Medium The Rise of the Algorithmic Medium Lisa Gwillam and Ray Sweeten form the code-art creating duo DataSpaceTime. Engaging in the aesthetics, the politics, and various undersides of contemporary backend technology, their pieces break down digital images, investigate how visual data interacts with other visual data, and look at how new technologies play with old ones. Their work also demonstrates how coding can be a form of artistic control and freedom. In 2011, they launched their first project, a succession of large-scale QR code-based portrait paintings of iconic people and objects like Hosni Mubarak, or Carpaccio’s “Portrait of a Young Woman.” The QR codes that form the portrait components each hold their own bit of information–the results of a single internet search, for instance–and work in concert with a proprietary app, which after giving over the necessary permissions, and downloading, unlocks the data for the user. .... Via Rob Kitchin
A clustering algorithm based on swarm intelligence
The Top 10 Algorithms in Data Mining | eHow
[Illustration from] By some accounts the world’s information is doubling every two years. This impressive if unprovable fact has got many people wondering: what to do with it? Trust Is Not An Algorithm: Big Data Are Hot, But They Also Miss A Lot
This web site is hosted by the Software and Systems Division, Information Technology Laboratory, NIST in collaboration with the FASTAR group. Development of this dictionary started in 1998 under the editorship of Paul E. Black. This is a dictionary of algorithms, algorithmic techniques, data structures, archetypal problems, and related definitions. Algorithms include common functions, such as Ackermann's function.

Dictionary of Algorithms and Data Structures

The following is a list of algorithms along with one-line descriptions for each. Combinatorial algorithms[edit] General combinatorial algorithms[edit] Graph algorithms[edit] Graph drawing[edit] Network theory[edit]

List of algorithms

Un article de Wikipédia, l'encyclopédie libre. Les algorithmes à estimation de distribution résolvent des problèmes d'optimisation en échantillonnant un modèle de distribution, dont les paramètres évoluent via des opérateurs de sélection. Ici, un AED à distribution normale mono-variante optimise un problème à une dimension x, l'échantillonnage est présenté aux différentes itérations i. Les algorithmes à estimation de distribution (« Estimation of Distribution Algorithms », EDA, en anglais) forment une famille de métaheuristiques inspirée des algorithmes génétiques. Ils sont utilisés pour résoudre des problèmes d'optimisation, via la manipulation d'un échantillonnage de la fonction décrivant la qualité des solutions possibles. Comme toutes les métaheuristiques utilisant une population de points, ils sont itératifs. Algorithme à estimation de distribution
Sorting Algorithms Are Mesmerising When Visualised Please enable JavaScript to watch this video. If you’re under the impression that something as simple as sorting numbers is dull, think again. This visualisation lets you see and hear 15 different algorithms sift their way through a jumbled mess of data — and it’s truly mesmerising. The video shows the process — and matched “audibilisation” — of 15 different sorting algorithms dreamt up by computer scientists. While they all use different approaches, like divide and conquer or comparison sorting, they all have one fundamental aim: to sort random shuffles of integers into order.
List of terms relating to algorithms and data structures
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