员工培训排课系统遗传算法英文文献翻译-英语论文

员工培训排课系统遗传算法英文文献翻译-英语论文内容摘要：

ystem. Specifically, the ability to schedule appropriate training courses is an important function of a training system. By utilizing reasonable functions of the training program, such as adaptive course arrangement, this training system can be more practical. Therefore, we intended to focus on appropriate course scheduling and arrangement. The Taiwanese machine tool industry is one of the most important industrial activities on the island. However, employee training for most panies in this sector was performed in conventional means. There is no systematic course scheduling mechanism utilized in the training practice, which results in timeconsuming processes and less training achievement. In this study, the maintenance personnel training in machine tool industry was taken to illustrate the formulation of mathematical models. The optimization model we proposed is capable of handling training course scheduling, which provides optimal course bination for triggering adequate training materials. The training programs of the machine tool industry are collected and anized as well. The objective of this study is threefold: (1) to construct a mathematical model with adequate course arrangement, (2) to solve the model with geic algorithms for obtaining optimal results, and (3) to develop a puter aided training system to facilitate personnel training in the machine tool industry. 员工培训排课系统遗传算法英文文献翻译 2 Literature review In order to search for suitable training course that meets individual needs, this study discusses the scheduling of training courses, the attributes of courses, the construction of a scheduling model, and GA, which was utilized to solve the model. Scheduling and selection of course Many studies have been found in the literature that deals with course selection and scheduling in training programs. Chiou (2020) stated that course scheduling is a plicated issue and is an NPComplete problem. There is no optimal solution in the programming search area. Lin (1998) contended that the plexity and difficulty of the course scheduling is caused by the uncertainty of the correlation between the resource limitations and multiple constraints. The issue of course scheduling is a Constrain Satisfaction Problem, CSP, which obtains sufficiently feasible solutions but has difficulty reaching the optimal solutions. AlvarezValdes, Enric, and Tamarit (2020) designed and implemented a course scheduling system with Tabu search algorithm. Yan (1995) suggested a dynamic instruction strategy system after designing the learning flow of the puter assisted learning system for students, analyzed the addition operation within 1000, and built plete instructional materials for the addition operation. Yan also used fuzzy set theory to provide the qualified grading method for teachers, while using GA to modify the learning flow. That dynamically adjustable learning flow system can control the quantity, sequence and content of the instructional materials, according to the needs of the students, which realizes the educational goal of individualized teaching. This method is more appropriate for the procedural courses. However, it is still difficulttoreality in maintenance personnel train programs since it is timeconsuming. This method requires a test immediately after the course is taken, and with the test results, the system modifies the structure of the instructional materials. The system then uses geic algorithms to search for the next suitable course. However, it needs much time to achieve good results while the number of course unit getting large. Besides, since the personnel training courses mostly are not procedural, this method is not suitable to be utilized for training purposes. Lin, Wu et al., 1998 and Lin, Hu, et al., 1998 suggested the use of fuzzy set theory to select training courses. They considered the factors of the emotion and ability of the trainees, using the characteristic of the fuzzy set theory in accordance with the factors of emotion and ability to modify the attribute values of the course (such as training period), and remend a course sequence. Their research overlooked the procedure of the training, and could not meet the demand for the course preparation. Chiou (2020) used geic algorithms to solve a mathematical model for structured course scheduling, and suggested a unique bimatrix, according to heuristics, to produce solutions that initially satisfied requirements. Based on the requirement for model adjustment, Chiou applied geic search procedures for finding optimal solutions, demonstrating the great search ability and efficiency of GA. However, Chiou’ s approach did not take the course attributes into account. 六维论文网 Employee education and training The ideal policy of the employee training of an enterprise should cover education, training and development. In accordance with concept of lifelong learning, employee training programs need systematic planning and proper course design. Education refers to focusing on the potential needs of the enterprise, and through longterm training, helping the individual gain general knowledge. Training should emphasize the immediate needs of the enterprise, help the individual obtain professional knowledge according to the concept of “ learn now and apply immediately.” Development means to broaden the ideas and increase the ability as a whole through longterm cultivation (Liu amp。 Lee, 1995). Matsushita Konosuke, a famous Japanese manager, once said: “ Foster people before making products (Lin, 1998).” Because people are the basic element of the enterprise activities, many visionary managers or administrators, in addition to focusing on the achievement of the shortterm mission goals, under the circumstances of limited time and funding, are mitted to increase。