Design of art teaching multimedia system based on genetic algorithms and computer network

The application of multimedia technology and the development of computer networks always affect the lifestyle and behavioral habits of modern people and also affect the education and learning methods of modern people. The genetic algorithm is called the form of calculation of the evolution algorithm, and it has the characteristics of parallelism and overallity and space search. This form is gradually brought into a large-scale cluster system. The article comprehensively considers the time, reliability, algorithm bandwidth, cost, and demand display of each individual from four different aspects, and designs an art teaching multimedia system in the form of adaptive functions to ensure the quality of teaching services. Finally, this article explores the design and development of multimedia networks in art teaching, based on the design of an art teaching courseware system. R&D forms mainly include: preparation and production of online courseware, development of online courseware, the operation and programming of online courseware, and the test and evaluation of online courseware. This design system research shows that the multimedia network system design under the art teaching is very important, which is the basis of the whole network teaching. For the system design and research of the whole art teaching understanding, it is the need to change and innovate technology, and also the only way for art design.


Introduction
As more and more people pursue innovation on the Internet, how to use the network to allocate tasks in a timely and efficient manner, improve the utilization of resources, and improve the implementation rate of tasks are the core keys of research and development. At the same time, the commercialization characteristics are becoming more and more serious, and many users are more and more concerned about the service. Therefore, the service providers are required to meet the requirements of customers, such as more reliable completion of tasks, shorter completion time, and less cost. Therefore, it is also one of the important topics under the genetic algorithm at the present stage to focus on the customer group, fit the customer needs to the maximum extent and improve the satisfaction of the audience. In recent years, bionic technology has also been developing and has been concerned by the society. Bionic technology has a good effect in the resource allocation of large-scale cluster system. When dealing with a large amount of computational information, the traditional genetic algorithm also has its own criticisms, for example, it is deeply stuck in the optimization solution, and its ability to search information is slow. Therefore, the focus at this stage is how to overcome the shortcomings of genetic algorithm, improve the reliability and efficiency of genetic algorithm, and truly achieve a system that meets the needs of users.
In modern times, the competitiveness of all countries is reflected in the competition of talents, and the key to the cultivation of talents lies in the development of education. In future society, the labor force puts forward higher requirements for education, that is, it requires people to constantly innovate education methods and adapt to the development of education. In the traditional teaching field, continuing education and lifelong education will also exist. Therefore, for the development of the twenty-first century, teachers are required not only to teach students knowledge, but also to teach students how to learn and acquire knowledge. In future society, learning how to acquire knowledge reflects the characteristics of popularization, identification and personalization of education. This form of education covers a wide range of forms and can be accepted at any time and place (Mok and Cheung 2011). In the traditional teaching field, the teaching time, place and teachers are fixed. For the new formal education, it is impossible to meet its requirements. Therefore, it is necessary to study the education system under multimedia (Yeom et al. 2021). By using multimedia network teaching, the text, sound, animation, image and video are integrated in the form of multimedia, making the knowledge acquisition more comprehensive, the content more powerful and more vivid (Zhou 2016). This form meets learners' requirements for new forms of learning, lifelong learning, and continuous learning, making traditional classrooms mobile. Rigid blackboard writing becomes mobile blackboard writing, and passive learning forms become active learning forms, making teaching forms more vivid, leaping and rich (Li 2016). Therefore, multimedia network teaching has greatly changed the traditional meaning of teaching.

Relevant work
A new improved genetic algorithm is proposed in the literature. Its fitness function can change with the individual state. At the same time, the mutation operation is adjusted in the genetic algorithm. Experiments show that the performance of the improved genetic algorithm has been significantly improved, and the efficiency of solving complex problems has been significantly improved (Song et al. 2019). In order to deal with the large dimension of the optimization problem, the literature proposes an improved genetic algorithm. The improved genetic algorithm improves the strategy when selecting the initial population and adopts adaptive processing for individual allocation. Three individual allocation schemes are adopted, and new strategies are applied when selecting the initial population (Tuncer and Yildirim 2012). In the literature, the operators of genetic algorithm are optimized and adjusted, and the crossover and mutation operations in genetic algorithm are adaptively processed (Li and Peng 2011). At the same time, the corresponding formulas are reasonably adjusted, and the elite retention strategy is optimized to adopt a more reasonable and effective scheme. The literature combines the standard genetic algorithm with the particle swarm optimization algorithm. The improved algorithm is specially reserved for the excellent individuals, and the particle swarm optimization algorithm further optimizes the excellent individuals (Onwunalu and Durlofsky 2010;Sangaiah et al. 2023). A new hybrid algorithm is proposed in the literature. This algorithm combines genetic algorithm with adaptive particle swarm optimization algorithm, adjusts the selection strategy reasonably, fuses the operation operator of genetic algorithm with the particle update rule of adaptive particle swarm optimization algorithm, and improves the design method of fitness function (Farnad et al. 2018). Inspired by the previous research, the literature combines the forward and backward search algorithm with the standard genetic algorithm in terms of operators and reasonably adjusts the optimization structure. Experiments show that the improved algorithm effectively avoids the situation that the forward and backward search algorithm is prone to fall into local optimization. A new improved genetic algorithm is proposed in the literature (Zou et al. 2019). This algorithm combines genetic algorithm with one-way search algorithm, optimizes the design of genetic operator and reasonably adjusts the parameters of the algorithm. Experiments show that the improved algorithm effectively improves the efficiency of solving optimization problems, and the solution effect is far greater than that of the two algorithms used alone (Zhang and Tao 2017). Aiming at the problems existing in structural optimization design, a new search algorithm is designed in the literature. At the same time, this algorithm is combined with the standard genetic algorithm. The experimental results of structural optimization show that the improved algorithm has better performance in search efficiency and optimization accuracy (Qu et al. 2013;Sangaiah et al. 2022). The literature proposes that in an information society, the learning resources obtained by students are not only from teachers' teaching and book knowledge, but also from online resources distributed around the world. We can even link to any website according to the needs of learning (Yi 2017). The literature suggests that since network courseware plays a teaching role, in order to achieve effective teaching, it is necessary to realize the communication between teachers and learners, and the communication between learners and learners. For example, through the online interactive function, students can freely publish and discuss their own problems, and can put forward the questions in the knowledge points or their own experience for discussion (Liu and Yin 2017). During the whole discussion process, they may encounter completely different views from themselves, thus further prompting them to think. The literature suggests that since the network courseware is a network environment based on Web browsing, it should have the characteristics of openness in the process of teaching and learning (Lee 2011). Unlike traditional classroom teaching, the learning of online courses is not limited by time and space. Learners can learn anytime and anywhere with the help of the network and computers, and the length of learning time is not limited (Kebritchi et al. 2017).
3 Analysis and design of multimedia network genetic algorithm

Initial population generation
In the implementation process of genetic algorithm, it is actually a structured individual reorganization form. The basic flow of genetic algorithm is shown in Fig. 1. As shown in Fig. 1, in the demonstration process of generating the initial population, it is necessary to constantly eliminate invalid forms according to various schemes. To check whether the scheme form is valid, it is necessary to set the set SF as the number of completed tasks and refer to the task Ti executed in the check resources. It is assumed that the task Ti does not form a dependency relationship or any dependent tasks already exist in the set SF, which indicates that the task Ti can continue to be executed. Therefore, Ti is placed in the set SF. Repeat the above process for several times. If each task meets the implementation requirements, it will be regarded as an effective scheme; otherwise, it will be regarded as invalid. According to the above calculation characteristics, the four factors of completion time, bandwidth, cost and reliability are selected for quantitative analysis to analyze the user's satisfaction with the four factors, and a weight vector is adopted to measure the user's different preferences for the four objectives: The actual consumption resource of the task Ti is Ai, and the resource consumption expected by the user is Ei.
The total time required for completing M jobs is: According to formula (4), set T cxpt as a user of the job J m looking forward to completing the time: Let the B user bandwidth in the computing environment.
The user satisfaction function that can get bandwidth is: The user satisfaction function of the operation rate of operation is: The resource is calculated according to each unit.
Then, the user satisfaction function of the cost is: The completion task in the computing environment needs to meet the above four factors at the same time. For users, the shorter the time to complete, the better the cost, the more the cost it takes. The better, the operating effect is more stable and the completion rate is higher. Therefore, the adaptation function of the operation scheduling is: The weight coefficient set from different people's demand for different values uses different weight vectors to calculate to complete the service satisfaction testing. The purpose is to make the genetic algorithm more accurate. The scale of the population is S. The probability of the genetic factors Q i is:

Information flow network marking index calculation
The standard index refers to the parameter values under the network power rhythm distribution curve, which can be used to perform equal equalization scores without standards. The non-uniformity of the network, the more intuitive. So far, there are many ways to calculate the target index, for example: use the histogram for non-linear regression, linear regression, the use of Fourier transformation solutions, dynamic equation transformations, and great ascendant estimation methods and other ways. The idea of the great similar algorithm in this is to use the most principle of probability in the sample. The principle of computing is to calculate the number of similar functions of the numbers first, and then, the parameter values are guided. The calculation process is as follows: The power-law degree distribution of nodes under the network can be expressed as: x refers to the number of connecting edges of the powerlaw degree of nodes in the network, k is a constant, and m is the scale index of non-uniformity under the information flow network. The result obtained by substituting the minimum value of the number of connecting edges: To calculate the value of the scale index m, the sample n in the likelihood function is expressed as: The log likelihood function can be expressed as: The entropy of the information flow network can reflect the effectiveness of the information and represent the uniformity of the network. Relatively interpreted the standard index in the comprehensive network power rhythm distribution curve, and the structural entropy of the information flow network is also calculated based on the number of nodes in the network and the connection edge under the node. Many nodes in the essential bidding network are established between connection points. There is a small part of the connection point that adds the connection edge. The distribution can be expressed as: According to the importance of node values in the network and the number of connections in the network, the network structure entropy is established.
The entropy of the network structure is derived from the number of edges connected by nodes and nodes in the network.
Among them, M i is the key value of nodes.
Among them, k i is the number of connected edges. Consider the connection edge structural entropy between the nodes and nodes in the network. If the total number of nodes in the network is N, the distinction of nodes in the network is: At the same time, the connection edge of the node is considered, and the division of the edges is calculated as follows: Considering the differences between nodes in the information flow network, its structure can be calculated as: Among them, a ? b = 1, 0 B a, b B 1. a and b are the set coefficients. So the relative critical calculations of nodes are as follows: Among them, ab/a is the normal value, set b/a = 1, so: Based on (26), the entropy of the information flow network structure is defined as: Under the network structure entropy of information flow, the information flow network studied is non-uniform, not a substitute connection distribution model. The relationship between the structural entropy and the connectivity distribution of the information flow network is consistent with the distribution of the probability of the random variable characteristic function in the function, and there is a complementary relationship between the two. The scale index is obtained by analyzing the curve form of the power-law degree distribution of the network, and the network structure entropy value of information is calculated according to the number of nodes and the node connection degree under the new media form, and the nonuniformity value of the information flow network is determined.
4 Art teaching multimedia system design

System architecture design
(1) Accurate positioning The user group of the system accurately sets the system of use systems as teachers, students, experimental researchers, administrators, etc. Clarify the section and work needs of the group and design the module.
(2) Ensure safety When implementing the design system, security is one of the factors that must be considered. Since the teaching system is established in the network environment, the security risks of the network environment are various. The use of identity authentication and other methods when logging in information is conducive to the realization of security management.
(3) Determine the scale The use scale of the system includes the number of users, the number of data, and the number of functions carried by modules. The design and development of the system and the performance of hardware are affected by the system. The larger the scale of the system, the more the overall structural requirements it carries. The smaller the scale of the system, the lower the performance of the corresponding main body. Therefore, in terms of the scale of the system, it should be required to have large bearing capacity, strong functionality and high scale.
(4) Good interactivity The better the interactivity of the system, the better the teaching level and the smooth interaction between teaching and learning. Timely convey and communicate the information of both parties, so good interaction performance will make the information expression more direct and the operation more convenient.

(5) Reasonable and applicable technology
The rationality and applicability of technology shall be considered during system design. According to the positioning and size of the system itself, combined with the principle of technology rationality and applicability maximization, the technology can not be top-notch, nor can the technology be too low-end and adjusted appropriately. Therefore, in the processing of the information system, considering the security and stability of the information and achieving the rationality of technology and information, the designed information system is shown in Fig. 2.
As shown in the overall frame diagram of the system in Fig. 2, the core switch is huge, and all devices should be connected to interact and transform.

Multimedia playback system hardware implementation
As shown in Fig. 3, in the implementation of the system, the ring control host and the control host use the network to connect the connection to achieve interactive control. The user uses the control screen to achieve overall control. In this process, the control interaction is achieved. The ring control host is also connected to the audio equipment, using the sound display process, controlling the host as one end of the server, collecting the user's control command, sending the command to the ring control host, so that the projection system played content and displayed content. After completing the design of the remote teaching system of art design, the system was initially operated. The basic structure of the system homepage is shown in Table 1.
According to the layout table in Table 1, teachers and students conduct teaching and learning operations in different functional modules. The specific operation shows that the system operates smoothly.

System test
The functional test principle is to help understand the actual situation of the system by designing accurate use cases. Some test cases are listed here, for example, as shown in Tables 2 and 3. Equipment monitoring function tests are shown in Table 3.
Through the functional tests of Tables 2 and 3, it is found that under the system of system functions that meet the design requirements of design, all expected implementation functions can ensure orderly and use them normally. In terms of operation, the accuracy of the behavior can be recognized, and the system design operation process is performed in the correct form. At the same time, the user's error operation is prompted, and there is a high fault tolerance. The system test also shows that the expected functions have been fully implemented, and the design of Fig. 2 The overall framework of the system Fig. 3 Ring road multimedia playing system hardware realization the fault tolerance rate has also made corresponding prompts, the effect in the scalability stability test is shown in Fig. 4.
As shown in Fig. 4, it can be seen that 15:07 operates the capacity of the cluster structure, and the total space of 15:20 in the cluster structure and the use space have fallen at the same time. Figure 5 shows the single instance stream rendering in the operation service, while checking the monitoring effect of the cluster on cluster IOPS.
It can be seen in Fig. 5 that the downtime shows the instability of the service under the cluster structure. The shorter the instability time, the faster the system recovers. At the same time as the access failure, you can also compensate for the retry mechanism.

Research on factors influencing factors of multimedia teaching systems
It is particularly critical to analyze the corresponding fault mode under each function during design. The analysis of the fault mode should be as detailed as possible, and it cannot be neglected to the wrong problem that affects the fault. According to the data in the table, the fault mainly analyzes computers and projectors. The two types of faults are analyzed, as shown in Tables 4 and 5.
The influencing factors related to the projector-related system are shown in Table 5.
From the analysis of the faults of Tables 4 and 5, it can be seen that this design work is analyzed in the foundation in the fault mode, and the complete description of the use of usage is performed. According to the analysis of faults, it is true and effective and considers which actual failure often occurs and is obviously placed in the priority of analysis.
6 Application of the art teaching multimedia system under computer environment 6.1 Advantage analysis of the application of multimedia teaching system Reasonable and efficient application of multimedia, doing a good job of multimedia network teaching has become the primary task of current design of online teaching systems. During the time of students' learning and practice, the application of multimedia can provide convenient conditions for students' practical operations to improve the performance results of students. In the process of online teaching, new media from various perspectives, new media, and technical cooperation, and the mode of later publicity, fundamentally better and more complete. After production, on the basis of meeting the academic requirements of students, it can help students complete more teaching requirements for new media, use the multimedia teaching system, can help students complete extracurricular activities and supplement teaching tutoring work. Personalized remote system teaching models can not only help The above position is the platform-oriented express menu bar. Users enter the corresponding function module according to the direction of information 2 The left position is the platform function shortcut menu, which is a common menu function, which is convenient for users to switch quickly 3 The upper right area is the announcement area of the announcement, updating the latest school dynamic information 4 The middle right position is the latest curriculum information area, attracting users to learn the latest content 5 The lower right position is a list of teaching video, which can be learned online and downloaded videos online Design of art teaching multimedia system based on genetic algorithms and computer network 6829   students take extra-curricular courses, but also realize interaction in teaching forms. Let the full-time teachers explain in a face-to-face way, can complete the platform for teachers and students to communicate, form a good interactive teaching platform, and establish a cooperative platform between teachers.
In the process of designing a network remote teaching system, we continuously help students solve network problems, improve the system's service performance, and enhance the system's pertinence. Teachers can also communicate under the teaching system and check the students' evaluation and message to the teacher, which can improve and adjust the teaching forms and content in a timely manner. Through the analysis and comparison of the online test results, differentiated teaching is performed within the scope and expression of the students, and the teacher's design innovation intention is realized. The computer's network remote teaching auxiliary system is tailor-made for the student's teaching platform. For the traditional learning of the classroom, the system can distinguish the differentiation of each student and allow teachers to teach and evaluate. In the system, students can also choose rational teaching subjects, learning content, progress, etc., according to their own learning and acceptance ability. For some students with absence, partial disciplines, and weak basic knowledge, the application of computer network auxiliary teaching systems can take into account the learning form of a variety of students and formulate personalized learning methods. In the form of timeliness, convenience and interaction of the network teaching system, teachers can also test, learn questions, and communicate in the system while sharing learning resources in the network learning environment.

Application strategy of multimedia system in art teaching
Under the mode of multimedia system teaching, the advantages of online teaching are used to strengthen the cultivation of art design students' ability. Under this new type of network teaching model, it gradually becomes the direction of future education. Based on previous experience, the following points are summarized. First, break the boundaries of time, stimulate students 'interest and cultivate students' creativity. The pictures and animations presented by multimedia teaching can stimulate students' curiosity and set up bridges for students to imagine, thereby breaking the boundaries of time, so that students can use the ability of abstract thinking to stimulate interest in a specific atmosphere.
Second, use the advantages of multimedia network teaching to develop vision and way of thinking. In traditional teaching, teachers will read a lot of information when preparing classroom explanations. Most of these materials come from books and textbooks themselves. With the development and progress of multimedia network technology, teachers can use the form of picture materials, can also collect pictures from a variety of pictures, develop students' thinking and vision, and optimize teaching procedures. For example, when teachers explain the disaster of real life, they are fully affected by watching disaster movies, video materials and other methods. At the same time, students' enthusiasm for learning is mobilized, and students can guide students to treat disasters correctly to stimulate students' love for life. Let students have the process of self-study, autonomous discovery and independent exploration, and get innovative expression methods. Third, adopt an inspiration teaching mode to optimize teaching methods and stimulate students' imagination. My country's current stage of art design education has gradually established with the development of the economy. At the same time, affected by the concept and teaching methods of traditional art teaching, it gradually focuses on the education of skills, ignoring the attention and cultivation of students' creative thinking. Without scientific guidance, opportunities for cultivating students' individuality and creativity are lost. Under the form of multimedia network teaching, using the main form of creativity to fully mobilize students' initiative, enthusiasm and participation. Teachers can arrange classroom tasks to students according to topics and ask corresponding problems. Under the guidance of teachers, in the design of courseware, combining the teaching content of the classroom with the space and ability for students to freely develop, students can freely fill in their courseware in the classroom and explain their ideas and design concepts. Therefore, the inspiration of teachers is particularly important.
Fourth, use the interaction function between courseware to strengthen students' creative thinking. In multimedia network teaching, the chat window or email form is used to answer questions and increase the interaction of teaching. When strengthening students' creative thinking training, it is necessary to strengthen students' draft inspections. The draft is the source of design creative thinking. In the draft, students' creative thinking methods and design concepts can be seen. Some people believe that students excessively depend on the design of electronic products during their creation, which can easily affect students' creative thinking. Design inspiration is missing and creativity is limited in composition and solution design. In this regard, electronic products are more inspired by creative instead of hindering creative inspiration. The popularity of electronic products can increase the source of inspiration of multiangle and multi-layered analysis and increase creativity from multiple angles. You can also use the functions of the chat room to make online mutual evaluation between students, so that the students themselves are creators and evaluators. They will freely tell the principle of creating ideas and design, and comment by the teacher organization.

Conclusion
In real life, there are optimization problems in all walks of life. The genetic algorithm of the simulation and biochemical process is used. This algorithm is strong, simple and effective and has been applied to various fields to deal with image problems and learning machine operation. However, there are many disadvantages of standard genetic algorithms, such as low accuracy and slow convergence speed. In the genetic calculation method of bionic algorithms, individual interconnection can be regarded as an independent algorithm. Therefore, the article analyzes the group structure of genetic algorithms from the perspective of independent network algorithms. As of now, the design and development of most art colleges in my country in multimedia online teaching have just started and have not yet established a complete standardized model. And there are great differences between existing art colleges and universities to offer multimedia online courses and other universities multimedia online courses. In terms of art design education, deepening reforms must face emerging education models and focus on education focus on multimedia network education. The effect of online teaching also directly affects the design and development of courseware, which is especially important in developing art education multimedia design and research.
Funding The authors have not disclosed any funding.
Data availability Data will be made available on request.

Declarations
Conflict of interest The authors declare that they have no conflict of interests.
Ethical approval This article does not contain any studies with human participants performed by any of the authors.