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.

For the two-player game problem, on the basis of Q-learning algorithm, the state-value function is updated by using neural network parameter approximation, the adaptive gradient optimization algorithm is selected for parameter updating, and the behaviors of the two agents are regulated by the Nash equilibrium idea. At the same time, in order to improve the protection effect of the model, differential privacy protection is added to the results to ensure the security of the data in the process of the two-player games. Finally, the experimental results verify the usability of the algorithm, which is able to train two agents to reach their respective target points stably after multiple rounds.

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.

Opinion dynamics has emerged as a research hotspot in many fields such as network science, control theory and sociology, focusing on the analysis and interventions of opinion evolution in complex networks. This paper reviews two research directions developed from the Friedkin-Johnsen model. First, the co-evolution of implicit opinions and explicit opinions under the social pressure is presented, with an emphasis on recent advances in conformity behavior and opinion polarization. Second, the opinion intervention based on opinion maximization problem is introduced and the recent progress is summarized from perspective of intervention strategies such as node selection and timing selection. Finally, future research directions of opinion dynamics under the intersection of multiple fields are discussed.

Aiming at the state tracking problem of multi-agent systems, this paper studies the event triggered collaborative control of high-order nonlinear multi-agent systems with input dead zones. First, the dead zone model is transformed into linear terms and perturbed terms. Then, using the fuzzy logic system to model the follower to reduce the influence on the system performance. Finally, designing the event triggering control to save bandwidth and further reduce the communication burden of the system. In addition, the proposed method can not only ensure the consistency of the leader and the followers, but also has been proved that the proposed control scheme is not affected by Zeno phenomenon. The simulation results are used to verify that all states of the follower of the design scheme are synchronized with the state of the leader.

To investigate the impact of carbon emission cost sharing on supply chain decisions, four carbon emission cost sharing supply chain decision models for manufacturers and retailers are developed. The Stackelberg game is applied to solve the problem, and the four decision-making models are analyzed based on evolutionary game theory, and the equilibrium conditions of the evolutionary stable strategy of carbon emission reduction cost sharing are obtained. Research shows that manufacturers′ profits are directly proportional to the proportion of low-carbon investment cost sharing, and are first proportional and then inversely proportional to the proportion of low-carbon marketing cost sharing; Retailers’ profits decrease with the increase of low-carbon investment costs and marketing cost sharing ratio. When the proportion of low-carbon investment and marketing cost sharing, the coefficient of low-carbon investment and marketing cost, and the sensitivity coefficient of consumers to marketing efforts and carbon emissions reduction are within a certain range, the system will reach a stable strategy. Finally, based on the research findings, relevant suggestions are proposed, providing effective ideas for the sustainable development of low-carbon cost sharing businesses in the supply chain.

A data-driven control scheme based on dynamic event triggered strategy is proposed for bipartite consensus control of complex nonlinear MASs with unmeasurable external disturbance. The dynamic model of MASs with external disturbances is transformed into an equivalent data model using pseudo partial derivative, and radial basis function neural network is used to estimate the variation of unmeasured external disturbance. Based on the above data model, utilizing model free adaptive iterative learning algorithm combined with dynamic event triggered strategy, a dynamic event triggered based model-free iterative bipartite consensus control scheme is proposed. Then, the stability analysis of the proposed control scheme is given. The effectiveness of this control scheme is verified by simulation.

In order to ensure that urban emergency supplies can be delivered to the demand point in a timely and accurate manner, especially for special emergency supplies with a short life cycle′ perishable goods, its timeliness requirements are higher. Based on the emergency scenario of sudden public health events, this paper establishes a multi-objective location model of urban perishable goods distribution center with the goal of minimizing transportation time and transportation cost and maximizing relative coverage area. The Harris Hawk optimization algorithm (HHO) is improved to achieve an effective solution to the multi-objective location problem of perishable goods distribution center. In order to verify the effectiveness of the model, a district in Shanghai is selected as a research example. The results show that the improved HHO algorithm can solve the location model of perishable goods distribution center under actual urban road conditions, and can provide an intuitive multi-objective location optimization scheme.

In order to clarify the risk factors of food safety issues in the traditional catering business and find effective measures to address issues from the source. The fault tree is constructed to identify risk factors, and qualitative analysis of risk factors is done by using the minimum cut set and structural importance. Moreover, the fault tree model is transformed into a Bayesian network, and final BN model is finished by structure learning and parameter learning based on case data. The two-way reasoning ability of BN is used to conduct quantitative analysis, and sensitive factors of various types of problems from the perspective of catering operators are finally obtained. The results indicate that personnel management is most likely to cause problems. Insufficient training is an important reason for food safety issues.