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These are the user uploaded subtitles that are being translated: 1 00:00:00.06 --> 00:00:02.02 - [Instructor] When utilizing generative design 2 00:00:02.02 --> 00:00:04.07 in our projects, there is a typical format 3 00:00:04.07 --> 00:00:07.08 that a generative design process will follow. 4 00:00:07.08 --> 00:00:12.05 This process is generate, evaluate, and evolve. 5 00:00:12.05 --> 00:00:15.04 The generate phase of the generative design process 6 00:00:15.04 --> 00:00:17.08 is the first step which consists of generating 7 00:00:17.08 --> 00:00:21.01 potential design solutions to a design problem. 8 00:00:21.01 --> 00:00:22.09 This set of designs is what we call 9 00:00:22.09 --> 00:00:26.07 a population of solutions, which is the starting point 10 00:00:26.07 --> 00:00:29.03 of any generative design process. 11 00:00:29.03 --> 00:00:31.04 In this phase we, the designer, 12 00:00:31.04 --> 00:00:34.07 specify the set of parameters that the generative algorithm 13 00:00:34.07 --> 00:00:38.09 can adjust to generate different permutations of a design. 14 00:00:38.09 --> 00:00:40.09 Say, for example, we had a tower 15 00:00:40.09 --> 00:00:42.09 which we had parametrically developed 16 00:00:42.09 --> 00:00:44.07 to use four different parameters: 17 00:00:44.07 --> 00:00:47.02 length, width, height, and twist. 18 00:00:47.02 --> 00:00:48.05 In the generate phase, 19 00:00:48.05 --> 00:00:51.01 the algorithm would generate different design options 20 00:00:51.01 --> 00:00:53.00 based on the variables provided. 21 00:00:53.00 --> 00:00:54.07 The important thing to understand here 22 00:00:54.07 --> 00:00:57.05 is that we set the parameters that the algorithm 23 00:00:57.05 --> 00:01:00.05 can then use in the generation process. 24 00:01:00.05 --> 00:01:02.02 Once the design has been generated, 25 00:01:02.02 --> 00:01:04.06 the next step is to evaluate the design 26 00:01:04.06 --> 00:01:07.04 to determine whether or not the generated design 27 00:01:07.04 --> 00:01:09.05 is objectively good or not. 28 00:01:09.05 --> 00:01:12.00 To do this, the algorithm needs some method 29 00:01:12.00 --> 00:01:13.06 of scoring the designs, 30 00:01:13.06 --> 00:01:16.09 which is a numerical-based evaluation of the design. 31 00:01:16.09 --> 00:01:18.05 In the example of our tower, 32 00:01:18.05 --> 00:01:22.05 it may be the amount of floor area generated and cost. 33 00:01:22.05 --> 00:01:25.04 Both of these values can be determined by analyzing 34 00:01:25.04 --> 00:01:27.00 the generated geometry, 35 00:01:27.00 --> 00:01:29.04 such as the net floor area available, 36 00:01:29.04 --> 00:01:31.08 and some cost multiplier. 37 00:01:31.08 --> 00:01:34.04 Based on these values, the algorithm can then rank 38 00:01:34.04 --> 00:01:37.00 which designs in the population 39 00:01:37.00 --> 00:01:41.02 are better or worse than others based on these metrics. 40 00:01:41.02 --> 00:01:44.01 The designer specifies what these metrics are 41 00:01:44.01 --> 00:01:47.07 and the algorithm uses them to rank the designs. 42 00:01:47.07 --> 00:01:50.01 The last phase of the generative design process 43 00:01:50.01 --> 00:01:51.08 is evolving the design, 44 00:01:51.08 --> 00:01:55.02 which is where the magic of generative design happens. 45 00:01:55.02 --> 00:01:57.01 Based on the design rankings, 46 00:01:57.01 --> 00:01:59.06 the algorithm can determine the best designs 47 00:01:59.06 --> 00:02:02.04 and the parameters that make up those designs. 48 00:02:02.04 --> 00:02:04.04 From here, the aim of the evolve step 49 00:02:04.04 --> 00:02:06.03 is to improve these designs, 50 00:02:06.03 --> 00:02:08.09 and it does this by combining and randomly changing 51 00:02:08.09 --> 00:02:11.06 the parameters that make up the best designs 52 00:02:11.06 --> 00:02:14.01 to get them to a specified goal. 53 00:02:14.01 --> 00:02:16.08 In this example, this might mean trying to maximize 54 00:02:16.08 --> 00:02:19.06 the amount of area while reducing the cost. 55 00:02:19.06 --> 00:02:22.00 So in the evolve phase, the algorithm will take 56 00:02:22.00 --> 00:02:26.04 the best generated designs and from them create new designs. 57 00:02:26.04 --> 00:02:29.05 Each time a new set of designs are generated 58 00:02:29.05 --> 00:02:32.01 this is considered a new generation 59 00:02:32.01 --> 00:02:35.08 in which the original population has evolved into. 60 00:02:35.08 --> 00:02:39.04 And with each new generation there is a new set of designs, 61 00:02:39.04 --> 00:02:43.08 which over time get closer to the specified design goal. 62 00:02:43.08 --> 00:02:47.01 This process often uses what we call genetic algorithms, 63 00:02:47.01 --> 00:02:49.05 which are type of optimization algorithm, 64 00:02:49.05 --> 00:02:52.03 allowing us to evolve a set of solutions, 65 00:02:52.03 --> 00:02:56.04 define the best or fittest solution to a problem. 66 00:02:56.04 --> 00:02:59.01 Over time, the generative design algorithm 67 00:02:59.01 --> 00:03:02.05 is able to explore a multitude of design options, 68 00:03:02.05 --> 00:03:05.05 improving them to reach a design goal. 69 00:03:05.05 --> 00:03:07.01 While generative design in Revit 70 00:03:07.01 --> 00:03:10.06 does include different types of generative design processes, 71 00:03:10.06 --> 00:03:13.09 including Randomize, Crossover and Like This, 72 00:03:13.09 --> 00:03:15.05 which we'll learn more about later, 73 00:03:15.05 --> 00:03:17.03 this process is the most common 74 00:03:17.03 --> 00:03:19.03 found in generative design tools. 6133