.... , 2000 , Principles of Optimal Design: Modeling and Computation , Cambridge University Press , Cambridge, UK . [7] Gero , J. S. , 1985 , Design Optimization , Academic Press , Orlando, FL . [8] Gunantara , N. , 2018 , “ A Review of Multi-Objective Optimization: Methods...

... topologies (PRS, RRS, and internal closed loop) and two layouts (symmetrical and “T” shape). Herein, P, R, and S denote prismatic, rotational, and spherical joints. This article presents the multi-objective optimization of the hybrid robot regarding different limb topology, limb layout, and corresponding...

...% (corresponding to k R E I ). The optimization of the REI is accomplished using a genetic algorithm. The evaluation of the performance of the multi-objective optimization algorithms is conducted through the utilization of the hypervolume metric H ( P ) [ 29 ]. The inherent stochastic...

... problem. artificial intelligence design methodology design optimization machine learning metamodeling multi-objective optimization systems design Group behavior is widespread with phenomena like ant colonies, fish swarms, bird flights, and so on. The industry has been inspired...

... outstrips the capability of manual expertise and knowledge, resulting in extended development cycles and suboptimal performance. Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038 Discovery Grant conceptual design design optimization multi-objective...

... in computational investigations for characterizing tissue scaffold design trade-offs and provide a foundation for future design multi-objective optimization for complex biomedical systems. Fig. 4 Lattice layouts with cube or BC-cube unit cells and void spaces for ( a ) no voids, ( b ) large void, ( c ) small...

... design evaluation design visualization multidisciplinary design and optimization multi-objective optimization Air Force Office of Scientific Research 10.13039/100000181 FA9550-18-0088 A continuous constraint satisfaction problem, also known as a numerical constraint satisfaction...

... for subsystem health monitoring, dynamic Bayesian networks for system reliability analysis, and multi-objective optimization schemes for optimizing system performance. The proposed framework systematically integrates these schemes to enable their application to a wide range of tasks, including offline...

... ], stochastic ranking [ 8 ], global competitive ranking [ 9 ], Ho and Shimizu technique [ 10 ], multiple constraint ranking (MCR) [ 11 ], and balanced ranking method and its extended version [ 12 , 13 ]. Over a decade back, there is a large volume of literature on constrained multi-objective optimization...

... 11 08 2023 17 08 2023 11 09 2023 design methodology design of engineered materials system design optimization multi-objective optimization National Science Foundation 10.13039/100000001 CMMI 1825444 CMMI 1825521 This paper explores approaches to leverage...

...Homero Valladares; Andres Tovar The solution to global (a posteriori) multi-objective optimization problems traditionally relies on population-based algorithms, which are very effective in generating a Pareto front. Unfortunately, due to the high number of function evaluations, these methods...

... with a multi-objective optimization process. To this end, first, a parametric model for a ring-shaped fourfold origami structure, called the Miura-oRing metastructure, is developed based on appropriate geometric parameters. Its nonlinear folding process is then simulated according to geometric compatibility...

... computationally intensive procedures. To speed up the optimization process and deal with expensive constraints, a new dimension selection-based constrained multi-objective optimization (MOO) algorithm is developed combining least absolute shrinkage and selection operator (LASSO) regression, artificial neural...

...-geometry. This is formulated as a multi-objective optimization problem (MOOP) where the obtained optimal ease-off is guaranteed to be manufacturable. To this end, an original strategy is proposed where the search for the pinion optimal tooth surface happens in the space of the coefficients of a polynomial...

... mechanism synthesis multi-objective optimization A common challenge in mechanical system design is the kinematic synthesis of mechanisms to meet a series of motion tasks. Motion tasks are usually divided into three categories: guiding the rigid body through a series of specified positions...

... was proposed by Deb et al. as a purely multi-objective optimization problem [ 42 ]. However, by treating some objective functions as parameter functions, a parametric test problem is formed that is used to test the hypercone angle. In the purely multi-objective form, the solution is a linear Pareto frontier...

..., there is limited usage of Bayesian frameworks on problems of multi-objective optimization under interval uncertainty. This article seeks to formulate an approach for the solution of these problems via the expected improvement Bayesian acquisition function. In this paper, a method is developed for iteratively...

...Yin Liu; Shuo Wang; Kunpeng Li; Wei Sun; Xueguan Song Most practical multi-objective optimization problems are often characterized by two or more expensive and conflicting objectives, which require time-consuming simulations. Commonly used algorithms construct a surrogate model of each objective...

... Automation Committee of ASME for publication in the J ournal of M echanical D esign . 23 03 2021 05 11 2021 10 11 2021 06 12 2021 design optimization multi-objective optimization simulation-based design topology optimization Topology optimization (TO) has been...

... and machine functionality. This modeling approach facilitates the allocation of system functions to humans and machines to be used as an accessible baseline for concept development. Further, a multi-objective optimization model was developed to allocate functions with metrics for accommodation and cost...