Design and Implementation of Multi-operand 2$$^n-1$$, 2$$^n$$, and 2$$^n+1$$ Modulo Set Adder

Saha, Prabir; Ahmed, Rekib Uddin; Thabah, Sheba Diamond

doi:10.1007/978-981-16-2911-2_1

Cited by 1 publication

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We argue therefore that popular research methods of solving space planning problems have associated implementation challenges in practice (Table 1). The hypothesis we seek to investigate is whether a hybrid approach combining space allocation algorithms implemented in the Design and Optimization Tool Set, DOTS, 52 and shape grammar algorithms implemented in Shape Machine 39 can together satisfy the identified requirements of generative space planning in architectural practice.…”

Section: Literature Reviewmentioning

confidence: 99%

Generative workplace and space planning in architectural practice

Okhoya¹,

Bernal²,

Economou

et al. 2022

International Journal of Architectural Computing

View full text Add to dashboard Cite

Generative design is emerging as an important approach for design exploration and design analysis in architectural practice. At the interior design scale, although many approaches exist, they do not meet many requirements for implementing generative design in practice. These requirements include the need for end-user accessible tools and skills, rapid execution, the use of standard inputs and outputs, and being scalable and reusable. In this paper, we describe a hybrid process that uses both space allocation and shape grammar algorithms to solve workplace and space planning interior design problems. Space allocation algorithms partition spaces according to program requirements while shape grammar automates the placement of inventory and the production of high-resolution drawings. We evaluate using three real world example projects how this hybrid approach meets the identified requirements of generative space planning in architectural practice.

show abstract

Section: Literature Reviewmentioning

confidence: 99%