William A. Crossley

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In August of 2002, the Schools of Engineering at Purdue University began an effort to identify “signature areas” as part of the commitment to reinforce the Schools’ standing as a preeminent academic engineering institution. The University administration has allocated 75 new faculty positions, above the current number of engineering faculty, to pursue highly(More)
Constrained optimization via the Genetic Algorithm (GA) is often a challenging endeavor, as the GA is most directly suited to unconstrained optimization. Traditionally, external penalty functions have been used to convert a constrained optimization problem into an unconstrained problem for GA-based optimization. This approach requires the somewhat arbitrary(More)
A parallel genetic algorithm (GA) was used to generate, in a single run, a family of aerodynamically efficient, low-noise rotor blade designs representing the Pareto optimal set. The n-branch tournament, uniform crossover genetic algorithm operates on twenty design variables, which constitute the control points for a spline representing the airfoil surface.(More)
Recent advances in materials science and actuation technologies have led to interest in morphing aircraft. The research discussed in this paper focuses upon the shape design of morphing airfoil sections. In the efforts herein, the relative strain energy needed to change from one airfoil shape to another is presented as an additional design objective along(More)
Using a Genetic Algorithm (GA) as a non-calculus-based global search method allows optimization-like techniques to be applied in the conceptual phase of design, which traditionally has been dominated by qualitative or subjective decision making. Features of the GA provide several advantages for conceptual design including: the ability to combine discrete,(More)
In-situ lunar oxygen production has the potential to reduce the cargo mass launched from Earth necessary to sustain a lunar base. As research and development in lunar oxygen production continue, modeling tools are being used to help characterize the many possible system architectures and guide decisions for future plant designs. Using the previously built(More)
The aircraft design optimization problem is typically formulated to maximize performance at a small number of representative operating conditions. This approach makes simplifying assumptions such as ignoring the climb and descent phases, but they can be avoided by performing simultaneous designmission-allocation optimization with surrogate models for the(More)
Conceptual aircraft design and the network routes that they travel on are inextricably linked to passenger driven demand. Decisions made in the acquisition and subsequent allocation of aircraft assets to serve chosen links translate to latent passenger observations of ticket pricing and routes served between origin-destination (OD) pairs. It is proposed(More)