... and optimizes grasps and gripper assembly layouts using two different gripper types—suction cups and magnets—from the geometric models of sheet metal parts. The method first generates an option space of gripper placement on the suitable faces of the part model. Then, a genetic algorithm generates grasps...

..., and then the fixture robust design is conducted with the developed methods. To show the effectiveness of the proposed method, genetic algorithm and sequential quadratic programming are also applied in the case study for comparison. 09 01 2009 06 04 2010 04 11 2010 04 11 2010 assembling...

.... CaSyn-MEMS combines a case-based reasoning (CBR) algorithm and a MEMS case library with parametric optimization and a multi-objective genetic algorithm (MOGA) to synthesize new MEMS design topologies that meet or improve upon a designer’s specifications. CBR is an artificial intelligence methodology...

..., October, Paper No. DSCC2009-2667, CD Proceedings, pp. 1 – 7 . 07 07 2009 04 03 2010 01 09 2010 01 09 2010 bond graphs condition monitoring design engineering expert systems genetic algorithms mechatronics Health monitoring of an engineering system is important...

... costs. We propose a layered approach based on Q-learning, a reinforcement learning technique, on top of genetic algorithms (GA) to determine the best weightings for optimal control and design problems. The layered approach allows for reuse of knowledge. Knowledge obtained via Q-learning in a design...

...Roy J. Hartfield; Rhonald M. Jenkins; John E. Burkhalter A methodology for developing optimized designs for symmetric-centerbody ramjet powered missiles, using a genetic algorithm as the driver for the system optimization process, has been developed. The methodology described in this paper allows...

... is formulated as mixed discrete-continuous multiobjective optimization. A multiobjective genetic algorithm is used to generate Pareto optimal designs for the optimization analysis. A case study on the production of a new machine bracket considering two available production lines is presented. 2 R...

... meet new requirements. This paper presents a solution to this problem that models the reconfigurability of a RMS as a network of potential activities and configurations to which a shortest path graph-searching strategy is applied. Two approaches using the A * algorithm and a genetic algorithm...

... genetic algorithms Conceptual Design Reduct Rough Set Theory Aesthetics Kansei Human Attention Favored Feature Customer demands toward products have been changing and diversifying with the rapid growth of technology and communication infrastructures. The market is saturated...

...Chan Yu; Souran Manoochehri A genetic algorithm-based optimization method is proposed for solving the problem of nesting arbitrary shapes. Depending on the number of objects and the size of the search space, realizing an optimal solution within a reasonable time may not be possible. In this paper...

...Patricia Brackin, ASME Mem.; Jonathan S. Colton, ASME Fellow As part of a strategy for obtaining preliminary design specifications from the House of Quality, genetic algorithms are used to generate and optimize preliminary design specifications for an automotive case study. This paper describes...

... Mar. 2002. Associate Editor: D. Dutta. 01 Apr 2001 01 Mar 2002 05 06 2002 recycling maintenance engineering cordless telephone systems genetic algorithms Maintenance and recycling of a product often require its disassembly. Disassembly processes can be classified...