Focusing on higher organisms, this paper analyzes and develops a comprehensive review of the problems in bionic computing and also proposes and expounds some new views and insights, from the perspective of collective intelligence as a whole, which includes swarm intelligence and crowd intelligence. On the basis of an overview on the research progress of bionic computation in higher organisms (including fundamental higher organisms, regular higher organisms and quasi-man organisms), the reflux phenomenon in the research on the trend of making algorithms marked by “zoo algorithm” in swarm intelligence optimization is found. A reasonable interpretation of the reasons for the formation of the trend of making algorithms from both the bionic-computational dimension and the problem-method dimension. Furthermore, the overall idea of problem solving is given, and the two main development directions of bionic computing for collective intelligence are refined and formed. Emphasis on the expansion of bionic behavior towards cooperative behavior is dominant in the direction of collective intelligence bionic computing development. Aiming at the difficulties existing in the research of swarm intelligence optimization, five bottlenecks that need to be focused on to achieve breakthroughs are proposed. Based on the overall view of “metaphorical bionic computing-normative bionic computing-complex bionic computing”, the new paradigm of intelligent computing of complex bionic computing is advocated, which can guide the direction for higher organism bionic computing.

To scientifically evaluate the resilience of China′s industrial chain and promote high-quality economic development, this paper employs complex network theory and utilizes data from China′s multi-regional input-output table to construct a simulated attack model of the industrial chain network, thereby measuring the resilience of the industrial chain. The results show that the industrial chain layout of 31 provinces in China exhibits obvious local correlation attributes, and presents a collaborative development characteristic led by key regions and industries; The overall resilience of China′s industrial chain is strong, and during the inspection period, the overall resilience index of China′s industrial chain shows an upward trend; There is a significant gap in the resilience of the industrial chain between regions and industries in China.

Through designing effective delayed feedback and open-loop controllers, the cluster lag synchronization problem of fractional order community network is studied. For different communities of the network, both the node dynamics and the lags with synchronization goals are nonidentical. Based on the Lyapunov function method and the stability theory of fractional order system, the sufficient condition for achieving the cluster lag synchronization is derived. Finally, the correctness and effectiveness of the theoretical results are verified by numerical and simulation examples.

This paper proposes an improved ant colony algorithm to solve the problem of slow and poor convergence. First, a correction strategy is introduced, which includes two local correction methods to reduce invalid paths. Second, an adaptive pheromone updating mechanism is developed to distinguish and volatilize the initial pheromone from the pheromone released. For the pheromone released in each iteration, a change law of time-varying volatilization factor is designed to volatilize independently and obtain pheromone volatilization mechanism with adaptive volatilization intensity. Finally, the proposed algorithm is applied to mobile robot path planning. Compared with the existing improved ant colony algorithms, the results show that the improved algorithm is excellent in terms of effective time, average distance and shortest distance.

To analyze the interactive dissemination mechanism of multiple information on the same public opinion event in social networks, this article divides the interaction between multiple information into three types: cooperation, independence, and competition. Based on the interaction situation of multiple information dissemination, an information dissemination model is constructed. Research has found that information attributes, information interaction factors, and network topology have different impacts on the dissemination of public opinion multi information, and different individuals have different characteristics of state changes during the interactive dissemination of multi information. The research results can help scholars better understand the mechanism of multi information interaction and dissemination of public opinion in social networks, and provide certain theoretical guidance for maximizing or controlling the dissemination of public opinion information.

With the continuous promotion of the "Health China" strategy, the public's demand for sports and fitness is increasing. However, unclear governance modes and operation strategies seriously hinder the efficient operation and public service of China's public stadiums. Based on the evolutionary game theory, this study explored the government-enterprise cooperative governance mode and operation strategy of domestic public stadiums from the perspective of cooperation benefits, cooperation costs, cooperation risks, financial subsidies, default punishment, supervision, and other factors. The results showed that: in terms of governance mode, increasing the benefits of cooperation between government and enterprise, reducing the risks of cooperation, increasing the financial subsidies for both parties and strengthening the punishment for breach of contract will promote the government-enterprise governance mode from independent management mode to cooperative management mode for collaborative governance. In terms of operation strategy, reducing the cost of government supervision and enterprise cooperation, and increasing the punishment for breach of contract between the government and enterprise will promote the transformation from (no supervision, negative) strategy to (supervision, positive) strategy, so as to better and efficiently realize the government-enterprise cooperative governance of the stadiums.

In order to address the problems of high empty rate and long waiting time of cross-level four-way shuttle during its operations, it is necessary to fully optimize the level of cooperation between shuttles and hoisters. Considering the variable speed of the four-way shuttle and the hoister in the movement process, with the objective of minimizing the total operation time of the inbound and outbound order tasks, a mixed integer planning model for the joint scheduling of the four-way shuttle and the hoister is established. An improved whale optimization algorithm is proposed in combination with the actual constraints of the four-way shuttle and hoister in the warehouse order picking process, and compared with simulated annealing, genetic algorithm, and an improved chimpanzee optimization algorithm. The results show that the designed algorithm has much better solution quality and effectively reduces the time in completing given order picking task.

In order to explore the dynamic evolution of innovator collaborative innovation network, networks are constructed based on the data of joint invention patent in electronic information industry. The paper reveals the characteristics of networks evolution, and constructs random actor models to identify the influencing factors of networks evolution. The results show that the relationship between innovators and innovation in electronic information industry increases in the early stage and becomes stable in the later stage. The network scale tends to be stable and the connections between nodes become closer. Network evolution is influenced by network structure characteristics, innovator characteristics and proximity mechanism. Among them, cooperation breadth and geographical proximity have the greatest impact.

In order to improve the small key space of the encryption algorithm based on low-dimensional system design, a new five-dimensional complex chaotic system is constructed, and its chaotic dynamics properties are studied by using phase diagram, equilibrium point, Lyapunov exponential spectrum, bifurcation diagram and spectral entropy complexity. It is found that the dynamic behavior of this system is rich, and it is more suitable for image encryption algorithm than low-dimensional system. Furthermore, based on this system, a new encryption scheme is proposed in this paper. The scheme includes three diffusion and one scrambling, which can increase the security of image transmission. Finally, the performance of the encryption scheme is analyzed by calculating key space, information entropy, correlation of adjacent pixels and so on. The analysis results show that the encryption scheme designed in this paper has a large key space, good encryption effect and the ability to resist external attacks.

To address the problems of low accuracy and poor robustness of traditional data-driven battery state of health prediction model, this paper develops a time series prediction model fusing both nonlinear and linear branches. The nonlinear time series prediction branch is formed by a one-dimensional convolutional neural network with a multi-size parallel structure in series with a bidirectional gated recurrent neural network, and the linear branch is constructed by an autoregressive model. Two branches in parallel output prediction results through a fully connected layer. The above prediction model has the generalization ability of the nonlinear part and the memory ability of the linear part, and is more sensitive to the change of input amplitude. The whale optimization algorithm is used to effectively search the optimal model hyper-parameters. The effectiveness and superiority of the linear nonlinear fusion prediction model proposed in this paper are verified by comparing existing models and ablation experiments.