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This paper combines the advantages of chaos theory, co-evolution algorithm and immune algorithm, and proposes a new hybrid evolutionary algorithm: chaotic immune co-evolution algorithm (CICA). CICA on the basis of the traversal and internal randomicity of the chaos theory, the memory and diversity of the biological immunity and the mechanism of cooperative evolution in the nature can effectively overcome the shortcomings of genetic algorithm, such as the lack of convergence efficiency and local optimization. This paper sets up a CICA model, designs and describes the main flow of this algorithm. More important, we simulate and test the CICA using the standard testing function and bier- 127 TSP. Compared the results with those of the other hybrid evolutionary algorithms, we find that CICA can promise the global optimization and high convergence efficiency, more effective than genetic algorithm and artificial immune algorithm.

Building rural logistic circulation system is an important way for building social new country. In the multi-agent supply chain system of rural logistic enterprise, purchasing agent should negotiate with the supply agent for price, quality, delivery time and supplying quota etc. How to optimize the multi-object is an important problem. This paper presents a multi-object negotiation model based on multi-agent. And the negotiation strategies are also discussed. That will advance the quick response ability of rural logistic enterprise supply chain, and will change the competing type from win-lose to win-win. And so rural logistic enterprise and its suppliers may achieve joint gains.

CBIR (content-based image retrieval) has become the main technique of image lib system. Its core is image similarity retrieval. The main obstacle of CBIR is that the retrieval effectiveness is unsatisfied. Since immune algorithm has ability of learning, memorizing and self-adapting in long term and in keeping with learning user's feedback information, it can improve the system recognition for users' semantic targets. Using excellence of immune algorithm, this paper proposes a new relevant feedback model based on immune algorithm and carries on the simulation tests for the above image retrieval model. The simulation indicated that the result of the beginning retrieving operation can meet the users' requirements very well and with more relevant feedback information the accuracy of the retrieving results are better.

FRAID is proposed a networked data storage layout in which new i-node provides four file layout types: non-striping, non-striped mirroring, stripping, and striped mirroring for user to choose. FRAID provides the three-level accessing mechanism and functional agents by clients, data servers, and object-based storage devices and the two-level storage allocation strategy of block and segment. It makes not only users possible to choose the proper layout according to the content of file data for their access efficiency and availability, but also the distributed storage system improve the accessing performance.

In this paper, an ARM+GO7007SB structure is put forward as the solution of embedded audio and video compression system. This design proposal is characterized by high processing speed, low cost, good image quality and real-time implementation. Combining with the forthcoming 3G technology, the design could be applied to mobile video services, such as mobile remote video surveillance system, with bright market prospect.

In this paper, a framework of fault diagnosis system is proposed, which is based on negative selection algorithm and the immune network model. Firstly, train the detectors by immune tolerance, and then detect if faults appear. Diagnosis experiments show that the system in normal pattern and abnormal pattern can be reflected by the self set and the non-self set completely through clustering algorithm. So the accuracy of diagnosis is improved. In the course of diagnosis, multiple diagnosis is proposed to process the data. If the data can't be recognized exactly, the abnormity degree is presented, which is the evidence for experts to make decision.