| C.R. Reeves and J.E. Rowe. Genetic Algorithms - Principles and Perspectives.Kluwer, Norwell, MA, 2002. |
....of some extravagant claims about their abilities to avoid local optima. However, theoretical developments have lagged some way behind, and it is the purpose of this paper to discuss some of what is known about their behaviour from a theoretical perspective. Much of this material is amplified in [17]. Definitions and some general results. Consider a maximisation problem: find f = maxff(x) x 2 Xg where X is a finite solutions space. The minimisation problem would be treated analogously (the necessary changes are usually obvious) Let Pi 1 ; x N ) 2 X be the population of ....
C.R.Reeves and J.E.Rowe (2002) Genetic Algorithms: Principles and Perspectives, Kluwer, Norwell, MA.
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C.R. Reeves and J.E. Rowe. Genetic Algorithms - Principles and Perspectives.Kluwer, Norwell, MA, 2002.
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