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" The genetic operators and their significance can now be explained. Crossover. Crossover is the main genetic operator. It operates on two individuals at a time and generates an offspring by combining schemata from both parents. A simple way to achieve... "
Network Models and Optimization: Multiobjective Genetic Algorithm Approach - Page 11
by Mitsuo Gen, Runwei Cheng, Lin Lin - 2008 - 692 pages
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Genetic Algorithms and Engineering Optimization

Mitsuo Gen, Runwei Cheng - Technology & Engineering - 1999 - 520 pages
...depends to a great extent on the performance of the crossover operator used. Conceptually, crossover operates on two chromosomes at a time and generates...chromosomes' features. A simple way to achieve crossover is to use the wellknown one- or two-cutpoint crossover methods, which work well with bit string encodings....
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Electric Power System Applications of Optimization

James A. Momoh - Technology & Engineering - 2000 - 498 pages
...from the paradigm given by Holland [9] where selection is made to obtain parents for recombination. Crossover is the main genetic operator. It operates...generate the offspring by combining the segment of the other parent to the right cutpoint. VII. APPLICATION OF GENETIC ALGORITHMS Some of the most successful...
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Product Design for Modularity

Ali K. Kamrani, Sa'ed M. Salhieh - Architecture - 2002 - 258 pages
...performed by a genetic algorithm for the solution of a combinatorial optimization problem. It usually operates on two chromosomes at a time and generates offspring by combining them. A cut-point is randomly chosen and the segments are combined to create two new chromosomes. The...
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