In this thesis, the author described a new genetic algorithm based on the idea: the better design could be found at the neighbor of the current best design. The details of the new genetic algorithm are described, including the rebuilding process from Micro-genetic algorithm and the different crossover and mutation formation.
Some popular examples, including two variable function optimization and simple truss models are used to test this algorithm. In these study, the new genetic algorithm is proved able to find the optimized results like other algorithms.
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- Partial requirement for: M.S., Arizona State University, 2015Note typethesis
- Includes bibliographical references (p. 44-46)Note typebibliography
- Field of study: Civil and environmental engineering