TY - JOUR ID - 62191 TI - Proposing Innovative Genetic Algorithms Model to Solve the Problem of the Professors' Educational Planning Considering Students' Opinions JO - Journal of Information Technology Management JA - JITM LA - en SN - AU - Asgari, Laleh AU - keyvanpour, Mohammad Reza AD - Msc, Social and Economic System Engineer, Specialized Data Mining Laboratory, Alzahra University, Tehran, Iran AD - Associate Prof. of Software Engineer, Faculty of Engineering, Alzahra University, Tehran, Iran Y1 - 2017 PY - 2017 VL - 9 IS - 3 SP - 531 EP - 548 KW - Fitness function KW - Genetic Algorithm KW - Mimetic Algorithm KW - Rotatory Inverse List (RIL) KW - Timing DO - 10.22059/jitm.2017.62191 N2 - Timing of curriculum planning for students and faculty could be done using diverse methods. The present research concerns with curriculum planning for professors considering the students' opinions. In doing so, the courses and the timing are determined based on the professors' common timetable, the professors' intensive courses timing and the class limitations. To achieve this goal, the genetic algorithm methodology was used in two steps. In the first stage, single-point cutting operator was used and in the second stage of the algorithm, a new intelligent operator called cyclic reverse list (RIL) was used provided that gold, silver and bronze time types were used for different courses. The advantages of this algorithm are using a new appropriate function (hot rolled), as well as new criteria and a new operator (RIL). Unlike conventional methods, in this method the appropriateness is considered in proportion with the whole population and we try to remove the impossible solutions. The optimal solution is chosen from among a multitude of provided responses. Therefore, it was found that we can reach the optimal solutions with regard to a better appropriateness. UR - https://jitm.ut.ac.ir/article_62191.html L1 - https://jitm.ut.ac.ir/article_62191_19b66474d494af8f36e96d70e479ce0c.pdf ER -