For the problems of unbalanced detection speed and recognition accuracy of traffic sign recognition models， and that it is difficult to detect occluded targets and small targets， YOLOv5 （You Only Look Once version 5） model was improved， and a lightweight traffic sign recognition model based on Coordinate Attention （CA） was proposed. Firstly， CA mechanism was integrated into the backbone network to effectively capture the relationships between location information and channels， so as to obtain the regions of interest more accurately and avoid too much computational overhead. Then， cross layer connections were added to the feature fusion network to fuse more feature information without increasing the cost， improve the feature extraction ability of the network and the detection effect of occluded targets. Finally， the improved CIoU （Complete Intersection over Union） function was introduced to calculate the localization loss， thereby alleviating the uneven distribution of sample size in the detection process， and further improving the recognition accuracy of small targets. Applying this model on TT100K （Tsinghua-Tencent 100K） dataset， the recognition accuracy is 91.5%， the recall is 86.64%， which are improved by 20.96% and 11.62% respectively compared with those of the traditional YOLOv5n model， and the frame processing rate is 140.84 FPS （Frames Per Second）. These experimental results fully verify the accuracy and real-time performance of the proposed model for traffic sign detection and recognition in real scenes.

For the problem of high delay rate and high failure rate of order online negotiation, based on Zeuthen Strategy, a novel multistage multilateral co-evolution algorithm was proposed. The algorithm applied a new role of agent called coordinator (CO) to effectively control the multilateral negotiation process, and caught the optimal extent of concession with Bayesian Learning by gradually amending the probability distribution of opponent's reserve-price valuation-vector and dynamically adjusting ones own business bid-curve. Combining the synchronous kicking-out mechanism, invalid consultation was avoided. The experimental results show the proposed method sufficiently captures the opponent's information to help agents duly update their belief, and the utility of negotiation behavior is obviously improved.