... Abstract The paper deals with a comparison between different multi-objective optimisation algorithms, namely Adaptive Pareto Algorithm (APA), Genetic Algorithm (GA) and Parameter Space Investigation (PSI). The comparison has been completed by solving a test problem (ZDT1) widely considered...

... 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...

... optimization one in order to determine the optimal friction laws dissipating the oscillation energy. For linear vibration control problems numerical methods based on solving matrix Lyapunov and Riccati equations are discussed. Additionally, an approach employing a global search mechanism, the genetic algorithm...

... 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...

... of pbell 96,1 Copyright © 1998 by AS algorithm attempting to do so. Results of a test case are sented. RDS d prototyping, path optimization, genetic algorithms ODUCTION eral forms of layered manufacturing technologies, vely called Rapid Prototyping (due to their current use, inantly, for prototype...

..., 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...

...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...

... such solutions are obtained by an optimization technique that can only guarantee local Pareto solutions or is applied to convex problems. The main focus of this paper is to demonstrate two methods of using genetic algorithms to overcome these problems. The first method uses a genetic algorithm with some external...

...Proceedings of the 1999 ASME Design Engineering Technicai Conferences September 12-15,1999 Las Vegas, Nevada DETC 99/CIE-9088 USING GENETIC ALGORITHMS TO SET TARGET VALUES FOR ENGINEERING CHARACTERISTICS IN THE HOUSE OF QUALITY Patricia Brackin* School of Mechanical Engineering Georgia Institute...

... 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...

... systems and submitted to kinematic and/or dynamic time-dependent criteria. The optimization process is based on stochastic techniques referred to genetic algorithms , which are inspired from natural evolution and can often overtop classical optimization methods when applied to practical problems...

... 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 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...

... 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...

... 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...

... 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...