... Pareto Algorithm (APA), Genetic Algorithm (GA) and Parameter Space Investigation (PSI). The comparison has been completed by solving a test problem (ZDT1) widely considered in the literature and a real engineering problem concerning the optimisation of traction electric motors. The practical problem...

... a genetic algorithm-based approach of grasp design automation. The algorithm first generates an option space of possible grasping locations by analyzing the geometry of the sheet metal part and then uses a genetic algorithm to optimize the grasp using up to five magnets and suction cups. The algorithm...

... a global search mechanism, the genetic algorithm, and parallel processing techniques, to alleviate the problem of com­ putational burden, is proposed to solve general control problems for optimal vibration damping. Two examples are presented in order to illustrate the proposed approach. Key Words...

... Abstract Genetic algorithms are effective algorithms for large scaled combinatorial optimization. They are potentially effective in integer and discrete optimization. However, as they are not well coded to its tedious expression in converting chromosomes to design variables, we need to do some...

... approach to overcome these limitations. A non-deterministic optimization approach based on Genetic Algorithms is proposed to generate pipe routing solution sets with a high computational efficiency. Representation of the objects and pipes in the tessellated format offers huge benefits in computation...

... the end of one curve to the beginning of the next curve, during which time the tool is not machining. It is therefore interesting to see if we can reduce the non-machining time in RP, and this paper proposes a genetic algorithm attempting to do so. Results of a test case are also presented. rapid...

..., system vibration and system volume. The design variables include both discrete ones and continuous ones. Genetic algorithm, together with Pareto sets, is employed to solve this complex optimal problem. Through the simulation studies on selected cases, improvement on the system vibration control is shown...

... Abstract An innovative approach to dynamic design is presented that has the notable advantage of allowing the dynamic requirements to be specified from the earliest design stage. The method applies genetic algorithms to optimize the dynamic behavior of the engine-cradle system and its links...

...Proceedings of DETC99 1999 ASME Design Engineering Technical Conferences September 12-15,1999, Las Vegas, Nevada DETC99/D AC-8576 MULTIOBJECTIVE OPTIMIZATION BY ITERATIVE GENETIC ALGORITHM Dr. Pierre M. Grignon Department of Research and Development Dassault Systemes Suresnes, France pierre qriqnon...

...Proceedings of the 1999 ASME Design Engineering Technical Conferences September 12-15,1999, Las Vegas, Nevada DETC99/DAC-8584 COMPARISON OF TWO MULTIOBJECTIVE OPTIMIZATION TECHNIQUES WITH AND WITHIN GENETIC ALGORITHMS Shapour Azar Brian J. Reynolds Sanjay Narayanan Department of Mechanical...

... Abstract As part of a strategy for obtaining preliminary design specifications from the House of Quality, genetic algorithms were used to generate and optimize preliminary design specifications for an automotive case study. This paper describes the House of Quality for the automotive case study...

... orthogonal packing resource allocation genetic algorithms Proceedings of DETC 99: 1999 ASME Design Engineering Technical Conferences September 12-15,1999, Las Vegas, Nevada DETC99/D AC-8588 AN EXTENSION OF THE ORTHOGONAL PACKING PROBLEM THROUGH DIMENSIONAL FLEXIBILITY Alison R. Callaghan Graduate...

... to the sequencing of tasks, further planning is required to choose where the “salesperson” should rendezvous with each “city”. The use of a genetic algorithm (GA) is chosen as the search engine for the solution of the multi-robot TSP+ optimization. As an example industrial application the optimization...

...Proceedings of DETC 99 1999 ASME Design Engineering. Technical Conferences September 12-15,1999, Las Vegas, Nevada, USA DETC99/D AC-8682 OPTIMAL DESIGN OF MULTIBODY SYSTEMS BY USING GENETIC ALGORITHMS Selim Datoussai d Faculte Polytechnique de Mons Mecanique Ratlonnelle, Dynarnique et Vibrations...

... methodologies are compared in terms of the maximum deviation obtained and the CPU time needed to accomplish the sampling task. NURBS inspection planning sampling genetic algorithms Proceedings of the 1999 ASME Design Engineering Technical Conferences September 12-15, 1999, Las Vegas, Nevada DETC99...

... are considered. In all cases the good solutions were obtained by evaluating only an extremely small fraction of all possible designs. genetic algorithms fuzzy engineering design method of imprecision (MoI) preference modelling mathematical model of linguistic descriptions population based optimization...

... Abstract The hybridization of different optimization methods have been used to find the optimum solution of design problems. While random search techniques, such as genetic algorithms and simulated annealing, have a high probability of achieving global optimality, they usually arrive at a near...

... with simpler geometries. The optimal decomposition can be posed as a graph partitioning problem, which is actually a discrete optimization task. Considering the nonlinearity and the corresponding computational overhead of the problem, a steady-state genetic algorithm is employed as the optimization method...

... Abstract In this paper we present an approach for increasing the efficiency of a hybrid Genetic/Sequential Linear Programming algorithm. We introduce two metrics for evaluating the modality of the design space and then use this information to efficiently switch between the Genetic Algorithm...

... a thorough spread of points along a Pareto frontier using genetic programming. Genetic Algorithms Heuristic Optimization Multi-Objective Optimization MOGA Pareto Frontiers Proceedings of DETC'01 ASME 2001 Design Engineering Technical Conferences and Computers and Information in Engineering...