---
title: "Computational vs Parametric vs Generative Design: Similarities and Differences"
description: What exactly do ‘computational’, ‘parametric’, and ‘generative’ mean in the world of design? Let’s understand the terms better with the help of examples.
image: https://drt8cv58r2b23.cloudfront.net/images/blog/blogHero/P005_SC_ComputationalvsParametric_0222_Image01.jpg
---
[Blogs](https://www.novatr.com/learning-hub)
- [Architecture & Construction](https://www.novatr.com/learning-hub?category=Architecture+%26+Construction)
- [BIM](https://www.novatr.com/learning-hub?category=BIM)
- [Computational Design](https://www.novatr.com/learning-hub?category=Computational+Design)
- [Company News](https://www.novatr.com/learning-hub?category=Company+News)
- [Expert Talks](https://www.novatr.com/learning-hub?category=Expert+Talks)
Explore Courses
[Just Launched  BIM Professional Program v.2026 Take your career to the next level by mastering the real-world application of BIM. Know More](https://www.novatr.com/courses/bim-professional-program)
[ Master Computational Design Course Break into an advanced career by learning to apply the power of computation to the art of design. Know More](https://www.novatr.com/courses/computational-design)
[Blogs](https://www.novatr.com/learning-hub)
Explore Blogs
- [Architecture & Construction](https://www.novatr.com/learning-hub?category=Architecture+%26+Construction)
- [BIM](https://www.novatr.com/learning-hub?category=BIM)
- [Computational Design](https://www.novatr.com/learning-hub?category=Computational+Design)
- [Company News](https://www.novatr.com/learning-hub?category=Company+News)
- [Expert Talks](https://www.novatr.com/learning-hub?category=Expert+Talks)
Courses
- [BIM Professional Program v.2026](https://www.novatr.com/courses/bim-professional-program)
- [Master Computational Design](https://www.novatr.com/courses/computational-design)
- [BIM/](https://www.novatr.com/learning-hub?category=BIM) [BIM/](https://www.novatr.com/learning-hub?category=BIM)
Featured Article
# Computational vs Parametric vs Generative Design: Understanding the Similarities and Differences
Sai Sreekar Chebiyyam
February 17, 2022
5 min read
*Let's be honest. At some point, every architecture student feels inspired to design mind-bending buildings like the Heydar Aliyev Center but haven’t a clue about how they were actually conceived. We often tend to identify building designs such as these as ‘parametric’ or ‘computational’ designs. Professionals themselves use the terms interchangeably, and there is a whole lot of confusion about what the terms really imply. Let's try to dissect these design concepts to understand the terms better.*
Unlock High-Paying Careers With BIM
Master BIM workflows, software and skills on real projects.
Apply Now
\*Limited seats available
## A look at twist-y buildings
The [Heydar Aliyev Center](https://heydaraliyevcenter.az/#main) in Baku, Azerbaijan, designed by Zaha Hadid, was built to represent fluidity, breaking away from the more ‘rigid’ Soviet architecture. It is more an artistic representation of the country’s aspirations than just a functional space. The Center is said to follow a specific design process called Foldism, with its fundamental concept being a single continuous envelope instead of separate walls and roofs that mimic traditional Islamic patterns.
The [Guggenheim Museum](https://www.guggenheim.org/) in Bilbao, Spain, follows a design technique called deconstructivism, which opposes the ordered rationality of modernism. It strictly rejects linear design process, symmetry, and ornamentation, as can be observed in Gehry's napkin sketch.
For both of these buildings, at the concept stage, there was neither parametric or computational design involved. These techniques came into play only at the stage when ideas had to be manifested as renders.
\[Read: [10 Fascinating Projects Created Using Rhino 3D You Need To Know About](https://www.novatr.com/blog/10-fascinating-projects-created-using-rhino-3d-you-need-to-know-about?utm_campaign=Oneistox_Blogs_SEO&utm_source=Onsite-blogs&utm_medium=blog-internal-link&utm_term=blog-internal-link&utm_content=computational-parametric-generative-design)\]
## Technical deep dive
**Computational or algorithmic design** is where a step-by-step mathematical, functional algorithm is made in software like Dynamo, Grasshopper, C#, Python, etc. to define interrelated parameters. One can design both scheme and envelope using the computational process. These scripts are plugged into our usual 3D-modelling software to review the 3D output and further manual modelling. The computational design process ends and parametric design starts once we plugin the optimized or generalized script into our main 3D software.
The above graphic shows the visual programming tool Dynamo being used to design the tower’s envelope. Here, parameters are set to modify the openings on the envelope from bottom to top. So the script should have an individual definition for the design of each panel which is further applied to modification based on the floor level.
**Parametric design**, as the name suggests, is where we play with the parameters we set up in the computational script and conclude with a desirable outcome. It is only possible after an optimized/generalized computational script.
As shown, one can script a perforated envelope to play with the parameters to create different iterations by simply changing the opening and position of the opening parameters. If done manually, experimenting with various iterations would require heavy modelling.
These parameters, on a larger scale, are often the project’s guiding principles. For example, we can script Dynamo to study the expected radiation from the sun and orient the building to the least possible heat gain by updating the respective parameters. Still, this method requires significant time to test the possibilities for a vast project. It is here that generative design comes in.
Watch the video below to understand parametric design better.
**Generative design** is a relatively new concept. It’s essentially an extension of parametric design wherein the computational part is complex enough to generate all the possible parametric iterations. It even gives us scores of each iteration as per the parameters.
In the above example, we can observe three different iterations based on the script with three other volumetric characteristics. But if we follow the thickness of each member in all three cases, they are the same. So the script would have constrained the thickness of the member and generated various options volumetrically. Through this, one can get a rough idea of what iteration one needs to pursue.
\[Read: [8 Awesome Rhino 3D Plugins That Will Change Your Modelling Life](https://www.novatr.com/blog/8-awesome-rhino-3d-plugins-that-will-change-your-modelling-life?utm_campaign=Oneistox_Blogs_SEO&utm_source=Onsite-blogs&utm_medium=blog-internal-link&utm_term=blog-internal-link&utm_content=computational-parametric-generative-design)\]
## This ought to make things clear
Let's try to step out of architecture and understand computational, parametric, and generative design more fundamentally.
**Step 1: Computational**
Let’s say you walk into a self-serve ice-cream parlour. Suppose it had a machine that could make a customized ice-cream serving for you simply by following your instructions, without the involvement of an employee. To get the desired ice-cream cup, you’d be required to convey to the machine the specifications of all possible flavours and toppings. Our computational design script is such a machine. The script is intended to simplify most “manual” work, except for the effort of the person who writes it.
**Step 2: Parametric**
Now imagine you’d like to have the least-possible calories in your ice-cream serving but also enjoy a chocolate flavour and at least 6 toppings (!). These are our “parameters”. Accordingly, our machine must choose all the lowest-calorie toppings and should also select the chocolate-flavoured ice cream with the fewest calories. Thus, you’ve enabled the calorie and flavour parameters to determine the contents of your final serving. This is analogous to our parametric design process. One has to use both computational and parametric power to achieve the desired result. Note that here, one must set the parameters manually, and each set of parameters will correspond to a different outcome.
**Step 3: Generative**
Now what if you don’t know which customization to opt for and want to test various ice-cream and topping combinations to make up your mind? Your ice-cream machine needs a way of illustrating the permutations and combinations that are possible with all the various ice cream flavours and toppings so that you can decide which one to get. In this case, the machine would display multiple serving options along with the associated calories, flavours, and toppings. You may then further filter the calorie range, the flavour range, and the possible toppings to get your ideal serving. When this is done, every unique option suggested by the machine would satisfy your selected parameters. You might never have been able to manually calculate all these possibilities in such a short time, and so this generative method is especially helpful if you have to decide from several options.
In the end, even with the help of computers, we are bound to limited options if we opt for the passive design process. Opting for computational design saves designing time by making it easy to visualize what you thought was impossible. Parametric design saves modelling time and gives us a chance to test new possibilities. And generative design gives us a humongous number of options to choose from while saving both designing and modelling time.
\[Read: [Top 7 Design Professions which use Rhino 3D](https://www.novatr.com/blog/top-7-design-professions-which-use-rhino-3d?utm_campaign=Oneistox_Blogs_SEO&utm_source=Onsite-blogs&utm_medium=blog-internal-link&utm_term=blog-internal-link&utm_content=computational-parametric-generative-design)\]
The future is full of possibilities if you’re ready to hop on the digital train. Why not take the first step with Novatr’s [Rhino and Grasshopper Certified Course](https://www.novatr.com/certified-courses/rhino-grasshopper-101?utm_campaign=Oneistox_Blogs_SEO&utm_source=Onsite-blogs&utm_medium=blog-CTA-link&utm_term=blog-CTA-link&utm_content=computational-parametric-generative-design)?
Master BIM and Get Hired Faster
Join a community of 8500+ Architects and Engineers.
Explore Now
\*Limited seats available
Was this content helpful to you
Like Yes
Dislike No
TABLE OF CONTENTS
BIM Is The New Standard. Are You Certified?
Get Certified in BIM
SHARE ON YOUR SOCIALS
Link Copied Successfully
Related articles
[-1.webp) BIM Revit Vs SketchUp: Which Software is Better & Why? (2026) 18 October 2022 24 min read](https://blog.novatr.com/blog/revit-vs-sketchup) [ BIM 3ds Max vs Sketchup: Which One Has More Suitable Features for 3D Modelling? 2 November 2022 8 min read](https://blog.novatr.com/blog/3ds-max-vs-sketchup-up) [ BIM Self-Learning BIM vs Structured BIM Course: What’s More Effective? 22 June 2026 6 min read](https://blog.novatr.com/blog/self-learning-bim-vs-structured-bim-course) [ BIM Civil Metro vs Airport Projects: How BIM Workflows Differ? 5 June 2026 9 min read](https://blog.novatr.com/blog/metro-vs-airport-projects-how-bim-workflows-differ)
Download Syllabus
## BIM Professional Program
Next Cohort
June 2026
Program Duration
7 Months
Premium Program benefits
8 Credentials from Autodesk, NSDC, Novatr
1 program. 10 career paths. Infinite Growth.
40+ ISO 19650 & RIBA real-world projects to practice
1-on-1 guidance. Access 400+ industry experts.
Access the biggest AEC-Tech community on the planet. 8500+ and counting
Curated for you by 100+ global BIM leaders.
Lifelong access to course content
Enter your details to download the program syllabus.
##### BIM Professional Program
June 2026, 7 Months
Your Name Invalid name.
Phone Number Enter a valid phone number
Email Please enter a valid email address.
Select years of experience\* Currently studying 0-1 years 1-2 years 2-4 years 4-8 years 8-10 years 10-12 years 12+ years Invalid selection.
Specialisation Select your background\* Architecture Civil Engineering Mechanical Engineering Electrical Engineering Invalid selection.
Are you professionally trained in interior design?
Yes
No
I agree to the [Terms of Use](https://www.novatr.com/terms-and-conditions) and [Privacy Policy](https://www.novatr.com/privacy-policy), and consent to be contacted by Email, Call, WhatsApp, or SMS.
Submit
Ready to skyrocket your career?
Begin your next chapter in AEC
with Novatr!
We are here to help you take the industry by storm with advanced, tech-first skills.
[Explore Courses](https://www.novatr.com/#courses)
Join our newsletter
Submit
Thank you for signing up.
We’ll send you a nice letter once per week. No spam.
Dare to Disrupt.
Join thousands of people who organise
work and life with Novatr.
Company
- [About Us](https://www.novatr.com/about)
- [BIM Professional Program v.2026](https://www.novatr.com/courses/bim-professional-program)
- [Masters Computational Design](https://www.novatr.com/courses/computational-design)
- [Become a Mentor](https://www.novatr.com/apply-as-mentor)
- [Hiring from Us](https://www.novatr.com/hire-from-us)
- [Careers at Novatr](https://www.novatr.com/career)
Resources
- [Blog](https://www.novatr.com/learning-hub)
- [Media Room](https://www.novatr.com/media-room-home-page)
- [Career Builder](https://www.novatr.com/career-navigator)
- [Events & Webinars](https://www.novatr.com/webinars)
- [FAQs & Support Center](https://www.novatr.com/contact-us)
- [Contact Us](https://www.novatr.com/contact-us)
- [Privacy Policy](https://www.novatr.com/privacy-policy)
- [Terms of Use](https://www.novatr.com/terms-and-conditions)
©2023 Oneistox Network Pvt. Ltd.
All Rights Reserved
```json
{
"@context" : "https://schema.org",
"@type" : "BlogPosting",
"author" : {
"@type" : "Person",
"name" : "Sai Sreekar Chebiyyam",
"url" : "https://blog.novatr.com/blog/author/sai-sreekar-chebiyyam"
},
"dateModified" : "2026-08-24T10:21:20.519Z",
"datePublished" : "2022-02-17T07:06:14.000Z",
"headline" : "Computational vs Parametric vs Generative Design: Similarities and Differences",
"image" : [ "https://drt8cv58r2b23.cloudfront.net/images/blog/blogHero/P005_SC_ComputationalvsParametric_0222_Image01.jpg" ],
"mainEntityOfPage" : {
"@id" : "https://blog.novatr.com/blog/computational-parametric-generative-design",
"@type" : "WebPage"
},
"publisher" : {
"@type" : "Organization",
"logo" : {
"@type" : "ImageObject",
"url" : "https://blog.novatr.com/hubfs/Novatr%20Prev%20OX-2.svg"
}
}
}
```