Abstract
This research concerns the complex housing optimization problem encountered in engineering design, where the volume in space occupied by components need to be minimized along with other objectives and constraints. Since in real applications the constraints are usually complex, the formulation of computationally tractable optimization becomes challenging. In this research, we first develop the mathematical model of such optimization problem, then propose two versions of an improved multi-objective simulated annealing (MOSA) approach towards the design optimization, i.e., optimizing the placement of cylinders under prescribed constraints to minimize the volume occupied, and the estimated plumbing line length. Our case study indicates that the new MOSA algorithm has improved performance towards complex housing with hard constraints and the design can indeed be automated. The outcome of this research may benefit both existing manufacturing practice and future additive manufacturing.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
