G. Telfar. Generally Applicable Heuristics for Global Optimisation. Master's Thesis, Victoria University of Wellington, 1994. Home/Search Document Details and Download
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Genetic Algorithms for Genetic Mapping - Gaspin, Schiex (Correct)
....of good individuals) The hope is that the population will evolve towards one which contains optimal individuals with respect to the fitness. Representation: In Car t h aGene, each individual represents one genetic map (an ordering of markers) The crossover operator used is the order crossover [Telfar94] which computes two offspring individuals, I 1 and I 2 from two parents P 1 and P 2 (figure 3) The parents are cut into three sections by selecting randomly two markers. The middle section of P 1 is copied into the corresponding position of I 1 , the rest of I 1 being filled in with values ....
Telfar (G.). -- Generally Applicable Heuristics for Global Optimization: An Investigation of Algorithm Performance for the Euclidean TSP. -- Master's thesis, Victoria University of Wellington, 1994. This article was processed using the L A T E X macro package with LLNCS style
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G. Telfar. Generally Applicable Heuristics for Global Optimisation. Master's Thesis, Victoria University of Wellington, 1994.
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Telfar, G., Generally Applicable Heuristics for Global Optimisation: An Investigation of Algorithm Performance for the Euclidean Traveling Salesman Problem, Master's Thesis, Victoria University of Wellington, 1994.
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