une 7 at Madison Square Garden. Promoted by Miguel Cotto Promotions, Top Rank®, DiBella Entertainment and Sampson Boxing, in association with Maravilla Box, Tecate and Madison Square Garden.Fight Tickets and PPV InfoCotto vs Martinez tickets are now available for purchase online at Ticketnetwork. To charge by phone with a major credit card, call Buy Tickets Center at (855) 859-4045. The fight will be produced and distributed live by HBO Pay-Per-View®, beginning at 9:00 p.m. ET/6:00 p.m. PT.Hall of Fame trainer Freddie Roach is devising a cunning and effective strategy to, badger, outfox, and hound WBC middleweight champion Sergio “Maravilla” Martinez (51-2-2, 28KOs) into a brush with defeat, on June 7th at Madison Square Garden. Roach is training former three division world champion Miguel Cotto (38-4, 31KOs) for the match.“We have seen Martinez fights. I observed him closely when I was in Julio Cesar Chavez Jr’s corner, and he’s very fast. But…like all opponents he can be outboxed. If Miguel focuses on his body, Martinez will loose his speed and that’s when we will knock him out,” Roach mused.Cotto (38-4, 31 KO) and Martinez (51-2-2, 28 KO) will meet for Martinez’s WBC middleweight title and The Ring Magazine championship at Madison Square Garden, promoted by Top Rank, DiBella Entertainment, and Miguel Cotto Promotions.“Face Off” will premiere on Saturday, May 24 at Midnight EDT (so technically, the first minutes of Sunday, May 25, technically), after the May 24 HBO Boxing After Dark card, featuring Bryant Jennings vs Mike Perez, Daniel Geale vs Matthew Macklin, and Edwin Rodriguez vs Marcus Johnson.Other air times:HBO air times include: May 24 (12:00 a.m.), 25 (10:00 a.m.), 27 (3:15 p.m. & 2:30 a.m.), 28 (12:30 a.m.), 29 (5:30 p.m.), 30 (10:30 a.m.), 31 (7:00 p.m.) and June 3 (12:30 p.m. & 3:30 a.m.), 5 (1:15 a.m.), 6 (6:45 p.m.) and 7 (10:45 a.m.).HBO2 air times include: May 25 (5:30 p.m.), 26 (10:45 a.m. & 3:30 a.m.) 30 (4:00 p.m.) and 31 (11:30 p.m.).…
une 7 at Madison Square Garden. Promoted by Miguel Cotto Promotions, Top Rank®, DiBella Entertainment and Sampson Boxing, in association with Maravilla Box, Tecate and Madison Square Garden.Fight Tickets and PPV InfoCotto vs Martinez tickets are now available for purchase online at Ticketnetwork. To charge by phone with a major credit card, call Buy Tickets Center at (855) 859-4045. The fight will be produced and distributed live by HBO Pay-Per-View®, beginning at 9:00 p.m. ET/6:00 p.m. PT.Hall of Fame trainer Freddie Roach is devising a cunning and effective strategy to, badger, outfox, and hound WBC middleweight champion Sergio “Maravilla” Martinez (51-2-2, 28KOs) into a brush with defeat, on June 7th at Madison Square Garden. Roach is training former three division world champion Miguel Cotto (38-4, 31KOs) for the match.“We have seen Martinez fights. I observed him closely when I was in Julio Cesar Chavez Jr’s corner, and he’s very fast. But…like all opponents he can be outboxed. If Miguel focuses on his body, Martinez will loose his speed and that’s when we will knock him out,” Roach mused.Cotto (38-4, 31 KO) and Martinez (51-2-2, 28 KO) will meet for Martinez’s WBC middleweight title and The Ring Magazine championship at Madison Square Garden, promoted by Top Rank, DiBella Entertainment, and Miguel Cotto Promotions.“Face Off” will premiere on Saturday, May 24 at Midnight EDT (so technically, the first minutes of Sunday, May 25, technically), after the May 24 HBO Boxing After Dark card, featuring Bryant Jennings vs Mike Perez, Daniel Geale vs Matthew Macklin, and Edwin Rodriguez vs Marcus Johnson.Other air times:HBO air times include: May 24 (12:00 a.m.), 25 (10:00 a.m.), 27 (3:15 p.m. & 2:30 a.m.), 28 (12:30 a.m.), 29 (5:30 p.m.), 30 (10:30 a.m.), 31 (7:00 p.m.) and June 3 (12:30 p.m. & 3:30 a.m.), 5 (1:15 a.m.), 6 (6:45 p.m.) and 7 (10:45 a.m.).HBO2 air times include: May 25 (5:30 p.m.), 26 (10:45 a.m. & 3:30 a.m.) 30 (4:00 p.m.) and 31 (11:30 p.m.).…
number of divisions on that curve as in the defintion (i.e. by 4). The offset in the def is slightly different and should cull two or three more curves as in the lists that show my aim below.
Basically I want to look into each branch of the groups of points from each closed curve . Marking in a list whether it contains a one or a zero (0= outside 1 = coincidents).
{0;0}0. 21. 22. 23. 2 {0;1} 0. 01. 22. 03. 2 {0;2}0. 01. 02. 03. 0 {0;3}0. 21. 22. 23. 2 {0;4}0. 21. 22. 23. 2 {0;5}0. 21. 22. 23. 2 {0;6}0. 01. 22. 23. 1 {0;7}0. 21. 22. 03. 0 {0;8}0. 21. 22. 23. 2 {0;9}0. 21. 22. 23. 2 {0;10}0. 21. 22. 23. 2 {0;11}0. 21. 22. 23. 2 {0;12}0. 21. 22. 23. 2 {0;13}0. 01. 22. 23. 0 {0;14}0. 21. 22. 23. 2
I want to create a list from these points. That marks each curve that pokes out, in a cull pattern as such:
20022210222202
Using a 1 where there are co-incidents in the curve points and the boundary. A 2 for true (outside points) and a 0 for containment. So I might be able to use the 1 in future developments - however if a true false list is easiest I can live with that.
So could I use F(x) function? - to look for 0 or 1's in each bunch of points and thus list as such for a cull pattern? or will Path mapper help me here? Or can I rely on simply grafting and splitting??
I am usure of the neatest solution and would love to learn. Hope you can direct me.rgrds
J.…
Loop'. The fun part of the slower version is that you can see what it's doing while it's running. 'Fast Loop' gives no indication that it's working, so you want to test it with small numbers and be sure it's coded properly before bumping the iteration count up.
The GH profiler running the slow version showed between 1 and 1.5 seconds per loop, but the reality was more like ~10 seconds per loop toward the end of an 11 X 11 grid, or ~20 minutes total. It's easier to be patient because you know it's working.
The 'Fast Loop' finished the same grid in 1.6 minutes! An impressive improvement. I've been running it on a 30 X 30 grid (900 points) for ~23 minutes so far and see nothing yet. Not the ~12 minutes I had hoped for... Now 36 minutes on this loop for 900 points... hope it's not stuck. Not fast! Later - DONE!! Profiler says 59 minutes for 900 points but it was more like an hour and twenty minutes total. It succeeded, I have a single 'Closed Brep' from 900 extruded rings, baked to Rhino.
Another strategy to explore would be doing 'SUnion' on a smaller grid using the Anemone loop, then replicate it by moving it as needed to form a larger grid; then run the copies through another 'SUnion' loop. I went ahead and implemented that while waiting. It works and is fast! Started with 3 X 3 and ran the result again as 5 X 5 (9 X 25 = 225 total) in barely ~70 seconds!? Trying 36 X 36 now... 1,296 points appears to have succeeded in less than ten minutes! Though it seems to take quite awhile after the loop ends before control is restored to GH/Rhino. I'll let you do your own experiments and benchmarks.
I encapsulated the loop in a cluster called 'suLoop' (blue groups).
Internal of 'suLoop' cluster:
…
Added by Joseph Oster at 11:14pm on March 22, 2017
nput parameter and then set the named values on the second?
protected override void BeforeSolveInstance() { Param_Integer param0 = Params.Input[0] as Param_Integer; Param_Integer param1 = Params.Input[1] as Param_Integer; param1.ClearNamedValues();
GH_Structure<GH_Integer> data = param0.VolatileData as GH_Structure<GH_Integer>; if (data.IsEmpty) return; foreach (GH_Integer value in data.AllData(true)) { switch (value.Value) { case 1: param1.AddNamedValue("First option for 1", 11); param1.AddNamedValue("Second option for 1", 12); param1.AddNamedValue("Third option for 1", 13); break;
case 2: param1.AddNamedValue("First option for 2", 21); param1.AddNamedValue("Second option for 2", 22); param1.AddNamedValue("Third option for 2", 23); break;
case 3: param1.AddNamedValue("First option for 3", 31); param1.AddNamedValue("Second option for 3", 32); param1.AddNamedValue("Third option for 3", 33); break; } return; } }
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David Rutten
david@mcneel.com…
Added by David Rutten at 1:56am on December 18, 2013
means Galapagos has got nothing to go on.
Your fitness value needs to reflect the fitness of the slider position. Then, Galapagos needs to be told what it is supposed to be looking for. I.e. it should try and minimize the fitness value (lower = better), maximize the fitness value (higher equals better) or optimize the fitness value (closer to X = better).
I attached two files, one extremely simple, one a bit more involved. They both solve the same problem. Be sure to have a good look at the Galapagos settings, as they differ in both files.
There's one more thing I should say. Galapagos has algorithms build in that prevent the same genome from occurring more than once in any given species. If you have an Integer slider with 11 possible settings, that means you can only have 11 unique genomes. Galapagos will exhaust this pool in half no time, after which it will seem to jump randomly back and forth, desperately trying to find another unique genome (and always failing). This is why I used floating point sliders, to increase the number of possible unique genomes.
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David Rutten
david@mcneel.com
Poprad, Slovakia…
Added by David Rutten at 3:52am on October 18, 2010
very surface i.e. 33, which you are trying to match up with 3 surfaces in a single list. Which is the second issue you would need to graft the single list of surfaces before inputing them to both the P and C inputs. That way you are making GH Match the first surface with the first set of points and so on. and not every surface with each set of points.
To sort out the Data structure coming from the grid use a pathmapper with {A;B;C;D}(i) --> {A;B}…
Added by Danny Boyes at 4:11am on February 7, 2011
idually and by group
3) Clean up functions to discard failed results
4) Use generated images using windows directories to delete designs (so you can bring one next to each other and discard similar ones)
5) Hide irrelevant parameters
6) View generated images in zoom
7) Individually set limits on filter parameters (using sliders)
8) Reload CAD file without having to close and open genoform
9) Much smaller UI (we want to allow the screen for design work, so the functionalities have been made into pop-ups).
10) Navigate in view to a desired design (by number)
11) Any other features our users want ? (let us know)
We hope that this version is much more easier to use and allows designers to manage what they wish to generate section by section or layer by layer.…
ult, my 3dm is very large.
Another problem, when the fonction is ok, the draw in grasshopper is ok, when i bake i have only a litte part of the opération.....
If you could help me, thank you
[Edit] Here the description in the null item :
{0;0}0. Brep: brep.m_T[43047] trim is not valid. trim.m_type = seam, the edge is manifold, but brep.m_L[trim.m_li=1114].m_type is not outer.brep.m_L[1114] loop is not valid. brep.m_T[loop.m_ti[21]=43047] is not valid.brep.m_F[0] face is not valid. brep.m_L[face.m_li[1114]=1114] is not valid.ON_Brep.m_F[0] is invalid.1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. …
the Options. For example, if we look at the default settings in this order:
Population: Number of iterations / generation 50 - Galapagos tries 50 slider positions each generation. When it finishes 50, it looks at the results and takes from the best results based on your fitness.
Initial Boost: Factor for the first generation 2. You want to ensure Galapagos sees as much of the solution space as possible in order to not miss any potential solutions. The first generation is multiplied by this factor. If Population is 50, the first generation will be 50x2 = 100 slider positions.
Maintain and Inbreeding deal with what you keep between Generations.
Max Stagnant: Number of generations to try AFTER finding a better solution 50. If Galapagos finds a great solution in Generation 2 (Gen 0 = 100 tries, Gen 1 = 50 tries, Gen 2 = 50 tries) it will go another 50 Generations (50x50 tries) before it stops to ensure it did not miss anything.
Your solution space consists of 11 options, which is much less than any of the other parameters are suggesting. Galapagos flails wildly in your case because you told it to. You told it to try 50x50(+50 for initial boost) number of times to find the best value.
Hence why I do not think this is the best option. You said it, this is not an optimization problem. If it is not an optimization problem, why use a genetic algorithm solver which is predominantly used for optimizing parameters?
I wouldn't necessarily want to see the definition, I'm more curious about the data. For example, can you send the data for 10 structural members and some load cases? (again, I could be entirely oversimplifying it).
In any case, I changed Max. Stagnant to 5, Population to 11. So Galapagos will stop (5x11)+11 tries AFTER the best solution is found. It found the solution pretty quickly.…
Added by Luis Fraguada at 6:07am on September 7, 2016