案例初始化遗传算法在大学课程表问题上研究

本文对于大学课程表问题提出了一种具有一定创新性的算法.该算法结合了遗传算法和基于案例推理两种截然不同的技术,它尝试使用基于案例推理的技术来加强遗传算法,使其具有一定的学习先前经验的能力,从而使遗传算法可以更快的收敛,获得更好的性能.

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

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.