In order to adapt past experiences to new situations, case-based reasoning algorithms generally rely on domain knowledge and heuristics. Unfortunately, the amount of domain-specific knowledge and domainand task-specific heuristics needed for such case adaptation is usually quite large. In contrast, in our current work we are exploring the use of a knowledge-lean method based on genetic algorith...

Aircraft design is a highly nonlinear problem and inherently multidisciplinary activity that involves a large number of design variables and different models and tools for various aspects of design. A spreadsheet based genetic algorithm (GA) approach is presented to optimize the preliminary design of an aircraft. A domain independent general purpose genetic algorithm is proposed to implement th...

This work describes the use of genetic algorithms for automating the photogrammetric network design process. When planning a photogrammetric network, the cameras should be placed in order to satisfy a set of interrelated and competing constraints. Furthermore, when the object is three-dimensional a combinatorial problem occurs. Genetic algorithms are stochastic optimization techniques, which ha...

For these preliminary design studies, a pareto genetic algorithm was used to manipulate a solid rocket design code, an aerodynamic design code, and a three-loop autopilot to produce interceptor designs capable of defeating two different target scenarios. The first scenario is a ground-launched interceptor engaging a high-speed/high-altitude target like a re-entry vehicle. The second scenario is...

This paper describes a study of automatic uid pipe route design using Genetic Algorithms (GAs). The pipe route generation process is deened as an optimization problem, based on viewing it as a variant of the Minimal Rectilinear Steiner Tree Problem (MRStT), Gib84], Jul93]. GAs were used for the optimization, and gave promising results. Other optimization methods were used for comparison. Result...

The focus of this paper is database design using automated database design tools or more general CASE tools. We present a genetic algorithm for the optimization of (internal) database structures, using a multi-criterion objective function. This function expresses connicting objectives , reeecting the well-known time/space trade-oo. This paper shows how the solution space of the algorithm can be...

One of the advantages of functional languages is the ability to use higher-order functions to guide the design of certain classes of algorithms. This paper is concerned with genetic algorithms (GAs) and their application to the solution of the single row routing (SRR) problem which is an important problem in the design of multilayer printed circuit boards (MPCBs). The paper presents a framework...

In product design, it is critical to perform project activities in an appropriate sequence. Otherwise, essential information will not be available when it is needed, and activities that depend on it will proceed using assumptions instead. Later, when the real information is finally available, comparing it with the assumptions made often precipitates a cascade of rework, and thus cost and schedu...

In recent years, genetic algorithms began to be used in many disciplines such as pattern recognition, robotics, biology, and medicine to name just a few. These optimization algorithms are based on Darwins principle of natural selection which happens to be a slow process and, as a result, these algorithms tend to require a large amount of computation. However, they offer certain advantages as we...

Ralf Schleiffer German Aerospace Center Department of Transport Research Linder Höhe, 51147 Cologne, Germany Email: Ralf.Schleiffer@dlr Prof. Dr. Hans-Jürgen Sebastian Institute for Operations Research RWTH Aachen Templergraben 64 52062 Aachen Germany Prof. Erik K. Antonsson, Ph.D. Engineering Design Research Laboratory California Institute of Technology 1200 E. California Blvd. Pasadena, Calif...