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William A. Crossley
Researcher at Purdue University
Publications - 186
Citations - 2609
William A. Crossley is an academic researcher from Purdue University. The author has contributed to research in topics: Genetic algorithm & Optimization problem. The author has an hindex of 25, co-authored 177 publications receiving 2408 citations. Previous affiliations of William A. Crossley include Arizona State University.
Papers
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Proceedings ArticleDOI
Hybrid Multi-Objective Combinatorial Optimization Technique with Improved Compatibility between GA and Gradient-Based Local Search
Satadru Roy,William A. Crossley +1 more
TL;DR: The work here presents a compatible hybridization between GA and SQP with improved information sharing between the two algorithms and adds to the expected improvements along with a mechanism to address mixed discrete, nonlinear problems with the global search and to address strict constraint enforcement with the local search.
Proceedings ArticleDOI
Higher Level Design Methods Applied to the Conceptual Design of an MALE UAV
TL;DR: The structured design methods such as Quality Function Deployment, Morphological Matrix, Functional Flow Block Diagrams, and Pugh’s concept generation and selection methods are described, with work undertaken to add quantitative analysis to these methods.
Proceedings ArticleDOI
An Approach to Predict Impact of Demand Acceptance on Air Taxi Operations
TL;DR: In this article, the authors evaluate the impact of accepting different percentages of passenger-demanded trips and number of owned aircraft on the potential profitability of the air taxi service by using Integer Programming assignment problems.
Journal ArticleDOI
Design of multifunctional structure with embedded electronic circuitry using composite laminate optimization techniques
TL;DR: In this paper, the problem of finding the least mass I-beam whose shear web contains a simple circuit subject to strength and strain constraints is investigated. And the problem is solved using sequential unconstrained minimization techniques and sequential quadratic programming.
Book ChapterDOI
Using Genetic Algorithms to Encourage Engineering Design Creativity
TL;DR: In this paper, the authors discuss how a GA search through a design space to generate highly fit designs for an example engineering design problem, which is the design of a stiffened composite panel, combining discrete, integer and continuous variables.