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By Hiroyuki Yoshida, Ashlesha Jain, Ajita Ichalkaranje, Nikhil Ichalkaranje

ISBN-10: 3540475230

ISBN-13: 9783540475231

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This can be explained by the fact that mutation is the only operator which can introduce new genetic information in the population. It was also shown that after a certain time, the quality of the solution does not improve much. Our tests showed that GAs generally produce high variety, at least in non-constrained configurations, but in any case, rules can be used to employ the desired level of variety and harmony. The advantage of our approach is that it uses the same algorithm on every level, thus the hierarchical structure is easily expandable.

GSLib is abstracted from the menu generation problem and uses abstract classes such as “solution” and “attribute” to represent the information related to the optimization and constraint satisfaction problems. GSLib is used to initialize the algorithm, to control the multi-level divide/conquer style scheduling, and to operate the abstract evolution processes at various levels. Thanks to the abstract framework, every kind of meal can be represented and every kind of plan can be generated the same way, irrespective of national cuisine, eating habits and nutrition database.

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Advanced Computational Intelligence Paradigms in Healthcare-2 by Hiroyuki Yoshida, Ashlesha Jain, Ajita Ichalkaranje, Nikhil Ichalkaranje

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