Design And Application In Courses Arrangement Problem Base On Genetic Algorithms

This paper briefly introduces the basic principles of genetic algorithms, generation, development status and characteristics, analyzes the requirements of secondary vocational schools in the new learning environment for arranging work proposed a comprehensive overview of the factors affecting Timetable issues, conditions and solving goals. Special needs face a new round of education reform, arranging to meet each student’s schedule and curriculum to real needs, based on the previous proposed genetic algorithm, adopting a framework to solve the problem based on the algorithm Timetable and actual needs to be improved for secondary vocational schools teaching management, design and implement Scheduling System based on Genetic Algorithms. Good to make up for deficiencies in the school systems of other Timetable specific applications. System functions efficiently solve the conflict school classroom in their daily teaching often encountered, even on special circumstances, special needs teachers, and practical classes grouping issues to meet the actual needs of secondary vocational schools teaching in a new round of reform.This paper mainly is improved in the following several key technologies in the design and implementation:(1) Quantify the difficulty of arranging the system, the first arrangement difficult course, in reducing the workload adjustments while improving efficiency.(2) To make the lesson more evenly distributed, using slicing method for generating random genetic code.(3) Timetable for secondary vocational schools in the practical factors research, and quantify, so the fitness function becomes practical, easy to operate, and is a system designed to assist algorithm.