Abstract
Problems in the field of engineering design represent an important class of real world problems that typically require a fuzzy and imprecise representation, since relations and interactions between different aspects of a design are often too complicated to allow a precise one. This article presents and discusses a new approach to model these types of problems, by incorporating linguistic descriptions together with a variety of user-defined trade-off strategies. An interactive computer application is introduced, using computational intelligence to solve the design task by producing a specially desired output under the given environmental conditions, which are partly caused by the personal preferences of the engineer and by the expectations of the customer. It utilizes a randomized evolutionary technique, made suitable for the class of problems at hand, to generate and optimize design solutions that are later identified by a clustering algorithm. Moreover, test problems that were solved by the application are considered. In all cases the good solutions were obtained by evaluating only an extremely small fraction of all possible designs.
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.
