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The research of case-initial genetic algorithm on university timetable problem

Zhenkai Wan

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Abstract

this paper puts forward a kind of new creative algorithm. The algorithm combines genetic algorithm with case-based reasoning technology, which manages to use case-based reasoning technology to enforce genetic algorithm in order to make genetic algorithm have ability of learning former experience. So the new algorithm has a more fast speed of convergence and better performance than a standard genetic algorithm.

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What this paper is about

this paper puts forward a kind of new creative algorithm. The algorithm combines genetic algorithm with case-based reasoning technology, which manages to use case-based reasoning technology to enforce genetic algorithm in order to make genetic algorithm have ability of learning former experience. So the new algorithm has a more fast speed of convergence and better performance than a standard genetic algorithm.

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Available abstract

this paper puts forward a kind of new creative algorithm. The algorithm combines genetic algorithm with case-based reasoning technology, which manages to use case-based reasoning technology to enforce genetic algorithm in order to make genetic algorithm have ability of learning former experience. So the new algorithm has a more fast speed of convergence and better performance than a standard genetic algorithm.

Key concepts: Genetic algorithm, Population-based incremental learning, Cultural algorithm, Computer science, Algorithm, Convergence (economics), Case-based reasoning, Meta-optimization

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