Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.Solving non linear optimization problems with adaptive genetic algorithms approach. In Proceedings of ... Berlin: Springer. doi:10.1007/9780-387-76813- 7_9 Venkata, U. B. C., Farokh, B. B., Yen, I. L., aamp; Raymond, A. P. (2005). ... Evolutionary unit testing of object-oriented software using strongly-typed genetic programming.
|Title||:||Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques|
|Publisher||:||IGI Global - 2010-06-30|