should follow the instruction which mostapha has wrote in https://github.com/mostaphaRoudsari/ladybug/blob/master/resources/I...
Instructions for Installing Ladybug + Honeybee: (Follow steps 1-6 for basic functionality and 1-11 for full functionality) 0. If you have an old version of LB+HB, download the file here (https://app.box.com/s/ds96em9l6stxpcw8kgtf) and open it in Grasshopper to remove your old Ladybug and Honeybee version. 1. Make sure that you have a working copy of both Rhino and Grasshopper installed. 2. Open Rhino and type "Grasshopper" into the command line (without quotations). Wait for grasshopper to load. 3. Install GHPython by downloading the file at this link (http://www.food4rhino.com/project/ghpython?ufh) and drag the .gha file onto the Grasshopper canvas. 4. Select and drag all of the files in the "userObjects" folder (downloaded with this instructions file) onto your Grasshopper canvas. You should see Ladybug and Honeybee appear as tabs on the grasshopper tool bar. (If you are reading this instruction on github you can download them from http://www.food4rhino.com/project/ladybug-honeybee) 5. Download the files at this link (https://app.box.com/s/bh9sbpgajdtmmystv3n4), unzip them and copy the contents to both C:\ladybug and C:\Users\[yourUsername]\AppData\Roaming\Ladybug. 6. Restart Rhino and Grasshopper. You now have a fully-functioning Ladybug. For Honeybee, continue to the following: 7. Install Radiance to C:\Radiance by downloading it from this link (https://github.com/NREL/Radiance/releases/download/4.2.2/radiance-4...) and running the exe. 6. Install Daysim to C:\DAYSIM by downloading it at this link (http://daysim.ning.com/page/download) and running the exe. 8. Install Energy Plus 8.1 to C:\EnergyPlusV8-1-0 by going to the DOE website (http://apps1.eere.energy.gov/buildings/energyplus/energyplus_downlo...), making an account, going to "download older versions of EnergyPlus, selecting 8.1 and running the exe. 9. Copy falsecolor2.exe (http://pyrat.googlecode.com/files/falsecolor2.exe) and evalglare.exe (http://www.ise.fraunhofer.de/en/downloads-englisch/software/evalgla...) to C:\Radiance\bin 10. Download the OpenStudio Libraries (https://app.box.com/s/y2sx16k98g1lfd3r47zi) and unzip them to C:\ladybug\OpenStudio. 11. You now have a fully-working version of Ladybug + Honeybee. Get started visualizing weather data with these video tutorials (https://www.youtube.com/playlist?list=PLruLh1AdY-Sj_XGz3kzHUoWmpWDX...).
It works for me..
Agus…
g-in, brief theory of complex systems, introduction to multi-agent systems and non-linear design, flocking, Boid library, basic examples - brownian motion, adhesion, separation, alignment, geometry following.-----------------------TIME: first session10am – GMT, London11am – Paris, Brussels, Rome, Vienna, Budapest, Bratislava, Warsaw9pm - Sidney7pm – Tokyo6pm – Beijing, Shanghai, Shenzhen, Hong Kong, Taipei3:30pm – Mumbai3pm – Karachi2pm - Samara1pm – Baghdad, Moscow, St Petersburg12pm – Istanbul, Athens, Helsinki, Cairo, JohannesburgTIME: second session3pm – GMT, London4pm – Paris, Brussels, Rome, Vienna, Budapest, Bratislava, Warsaw7pm – Dubai, Abu Dhabi, Baku6:30pm – Tehran6pm – Baghdad, Moscow, St Petersburg5pm – Istanbul, Athens, Helsinki, Cairo, Johannesburg1pm – Rio de Janeiro, São Paulo, Montevideo12pm – Buenos Aires, Santiago10am – Toronto, New York City, Bogota, Lima9am – Mexico City7am – Los AngelesWEBINARSThe rese arch Grasshopper® sessions are unique for their thorough explanation of all the features, which creates a sound foundation for your further individual development or direct use in the practice. The webinars are divided into four groups: Essential, Advanced, Iterative and Architectural. If you are a Rhinoceros 3D or Grasshopper® newcomer, you are advised to take all the Essential sessions before proceeding to the next level. If none of the proposed topics suit your needs or if you require special treatment, you can request a custom-tailored 1on1 session. All sessions are held entirely in English.The webinars are series of on-line live courses for people all over the world. The tutor broadcasts the screen of his computer along with his voice to the connected spectators who can ask questions and comment in real time. This makes webinars similar to live workshops and superior to tutorials.…
Added by Jan Pernecky at 3:36pm on February 17, 2015
main attention is set on easy to handle interface , which should be used at a early stage of conceptual design to respond to external and internal influences in a intelligent and sustainable way.
Participants will use the software Grasshopper as a parametric modeling plug-in for Rhino. The usage of this graphical algorithm editor tightly integrated with Rhino’s 3-D modeling tools open up the possibility to construct highly parametrical complex models. To generate this complexity we will use live linkages to several programs listed below:
• Autodesk Ecotect Analysis and Radiance via GECO
• Processing, Excel or Open Office via gHowl
• FEA software GSA via SSI
In this 3 intense days, the participants should learn the workflow of the plug-ins with the help of examples and get an overview of the different software’s, there possibilities for evaluating the performance of a design or the usage of additional tools to be not chained to a single system .
(e.g. parametrical accentuation, parametrical formation, parametrical reaction)
TIME AND LOCATION
27th – 29th September 2010Leopold-Franzens university innsbruck/austria
Technik Campus | ICT - building
Technikerstraße 21a
A - 6020 Innsbruck | Austria
47°15’50.71”N 11°20’43.45”E
detailed program as pdf-version
FOR WHOM
All levels are welcome (students & professionals)
The only requirement is knowledge of Rhino and Basic Grasshopper.
You will need a level which corresponds to the Grasshopper Primer course outline.
FEES
21 hours
professionals: 395€
students (bachelor/master): 250€.
REGISTRATION
please send a email to to.from.uto@gmail.com attached with following information :
Last Name
First Name
Date of Birth
Nationality
Email Address
Current Address
Profession or proof of student status
After submitting you will receive an email with a PayPal link to complete registration.…
to actually be positioned on a sloping surface (landscape) I then tried to figure it out in 3D.
Am trying to use the 3D isovist definition but can't figure out how to input my breps as obstacles for the mesh ray (I am probably thinking about it incorrectly) so I'll continue looking at it thank you! but am now thinking perhaps 2D is as far I can handle for now.
The isovist only seems to cull out rays that pass through more than one obstacle when the faces output is flattened (left).
When I continue anyway without flattening to find the outermost points on each obstacle (I am thinking they will define the boundary of visible surface), I assumed the 11 lists corresponded to each obstacle, so I thought to find the first and last index of each list. However, all the points with index 0 seem to fall within only one of them and I'm not sure why.
…
on the division points (see rhino screenshot below, left side is what I'm describing. there is also a note in the screenshot of the GH file)
Unfortunately it doesn't work for multiple cell inputs.
I've also tried flattening the points into one big list and re-creating the polylines with sublists but with no luck. The points are not ordered the way it would need to be to use sublists from domains created by 2 series of numbers. So this is problematic becuase each cell has a different number of vertices. That method would work if I can create unevenly spaced intervals that match the number of vertices on a given input, but I'm not sure how to do that.
Like would it be possible to create a series of numbers whos step size varies with each step? e.g. series that starts at 0, steps up in size 5, then 7, then 11, etc. ant there are x amount of values in the series?
Any ideas how to get this working? Either with this definition or a different method?
Thanks,
Brian…
Added by Brian Harms at 5:40pm on October 15, 2011
TB of RAM. I think I'm going to start a GoFundMe campaign to buy one for myself :)
2- The server's cost is about $13 an hour. I get free access to supercomputer through my university and xsede.org because I earned an NSF Honorable mention last March, however, the supercomputers available through both resources are a little complicated for me to use, as opposed to the one available from amazon that has Microsoft server 2012 already installed.
3- I wanted to run 400 annual glare simulations for 400 different views.
4- I tried a to perform annual glare simulation for one view on my Dell XPS that has Intel Core i7-6700HQ processor and 16GB of system memory. The simulation took 2 hours to complete. Radiance parameter ab was set to 6.
5- I wanted to obtain the batch file for each view so I can run them on the server. So I used the fly component to run all 400 simulations and closed the cmd windows, that wasn't bad ( for me at least) because I asked my son to this job for me, he was just glad to help me :)
6- I created one batch file using this cmd command:
dir /s /b *.bat > runall.bat
This created a file with the path to each .bat file. I edited this file in Notepad++ to include the word "start" at the beginning of each line. This was done using the "find and replace" dialogue box.
7- I split my newly created batch file into 3 batch files, each one has about 130 file names and " start" before the file names.
8- installed radiance on my server
9- Ran the first batch file on the server, this started 130 cmd windows performing my simulations, CPU usage was anywhere between 90% to 100% and about 105 GB of RAMs were used.
10. It took about 5 hours to complete all 130 simulations, I expected to run all in 2 hours but can't complain because this would've taken about 260 hours to run on my laptop. After the simulations done I ran the second and then the third batch files ( total of about 15 hours).
11. I got 400 valid dgb files. Couldn't be happier!
…
you post a screenshot of what the message coming from its readMe! output looks like?2) Close your Grasshopper and Rhino.3) Download "Revo Uninstaller Pro" from here. It is free for first 30 days, which is what we need.4) Right click on the RevoUninProSetup.exe and check if the file is blocked. If it is, unblock it.5) Run the RevoUninProSetup.exe file and install "Revo Uninstaller Pro".6) Uninstall "MapWinGIS" with "Revo Uninstaller Pro". It is important that "Revo Uninstaller Pro" deletes not only files from MapWinGIS installation folder, but also all other leftovers (as registry inputs). Here is a small tutorial on how to do that. Watch it from 6:10 till the end.7) Restart your PC8) When your Windows boots up, make sure that you are logged in as Administrator!9) In your Start menu's search box type: "UAC", which will find your User Account Control Settings. Click on it, and a new window will open. Set the bar on the left to "Never notify".10) Turn off your Windows Firewall.11) Then turn off your custom Firewall (in case you have another one, besides standard Windows Firewall).12) Completely turn off your Antivirus.13) Download again the MapWinGIS-only-v4.9.4.2-x64.exe.exe file from here.14) Right click on the MapWinGIS-only-v4.9.4.2-x64.exe file and see if it is blocked. If it is, unblock it.15) Right click on MapWinGIS-only-v4.9.4.2-x64.exe file and choose: "Run as"... Administrator.16) One the installation preparation steps start, choose "Full installation". Wait for the MapWinGIS installation to finish.17) Right-click on "Rhino 5" icon and then choose: "Run as administrator".18) Open the the ironpython_admin.gh file again, and again post a screenshot of the message coming from its readMe! output.19) Drop the "Gismo Gismo" component to Grasshopper canvas. Post a screenshot of the message coming out from its readMe! output.
So we will need in total three screenshots of the readMe! output messages.
Thank you once again for being patient, and sorry for the large number of steps.…
Added by djordje to Gismo at 1:52am on April 9, 2017
stributes structural supports for a uniformly loaded domain using e.g. the internal energy of the loaded domain as fitness. Here the uniformly loaded domain is represented by the trimmed surface. My genomes are the support positions (green crosses), which are restricted to a set of predefined grid points. I’m currently using an (i,j)-coordinate indexing for these grid points (illustrated in the viewport just below) as opposed to a sequential , “one-dimensional” numbering (illustrated in the viewport further down).
(i,j)-indexing systemAltenative, sequential indexing system
The support positions are computed by two gene pools; one governing the i-index, Gene List {i}, and one governing the j-index, Gene List {j}, of each support. The value of slider 0 in Gene List {i} is paired with the value of slider 0 in Gene List {j} etc. and the amount of sliders corresponds to the amount of supports. The screen shot below depicts the slider constellation corresponding to the support distribution depicted above. Unfortunately the j-index represented in the sliders needs remapping as the number of j-indices vary for each i-index (horizontal row of grid points). With the current setup I have 12^6 x 9^6 = 1,6 x 10^12 different genomes. If I were to use the sequential, “one-dimensional” numbering, I would only use one gene pool with sliders ranging from 0 to 76 meaning that remapping could be avoided and thereby having only 76^6 = 1,9 x 10^11 different genomes.
So, my current genome setup causes a bunch of issues related to the Evolutionary Solver: Remapping Changing one of the j-index sliders, will not necessarily change the related support position but it will still facilitate another genome to be calculated by the solver. (This problem could be eliminated by using the sequential, “one-dimensional” numbering)
Switching slider values around If the values of e.g. slider 0 were to be switched around with the values of slider 5, this again would yield a new genome but an identical solution. (This problem cannot be eliminated by using the sequential, “one-dimensional” numbering)
Coincident support positions Two or more supports may be located in the same position. (This problem cannot be eliminated by using the sequential, “one-dimensional” numbering)
I find it impossible to imagine the fictive “fitness landscape” of this problem and not only because of the multidimensional genome characteristic but just as much because of these listed, intertwined peculiarities. I’ve tried running the Simulated Annealing Solver as well, but my experience is that the Evolutionary Solver yields better results. To my awareness, the solver uses some kind of topographical proximity searcher. This is why, I think that the solving process itself benefits more from analysing the (i,j)-index system, in which neighbouring grid points hold more uniform topographical information than the sequential, “one-dimensional” numbering, which might have big ID-numbering gaps between neighbours. Have I understood this correctly?
Cheers…