Michael R. Wick
Abstract
We present a genetic algorithm software project that serves to give students direct experience with choosing among multiple potentially applicable design patterns. We carefully constructed this project to illustrate the power of design patterns in supporting encapsulation while at the same time providing a single context in which to compare and contrast similar design pattern alternatives.
- E. Gamma, R. Helm, R. Johnson, and J. Vlissides. Design Patterns: Elements of Reuseable Object-Oriented Software. Addison-Wesley Publishing (1995). Google Scholar
Digital Library
- D. Goldberg. Genetic Algorithms in Search, Optimization & Machine Learning. Addison-Wesley Publishing (1989). Google ScholarDigital Library
- J. Holland. Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor (1975). Google ScholarDigital Library
Index Terms
- Comparing the template method and strategy design patterns in a genetic algorithm application
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