The Critical Technology Research On Fleet Cooperative Antimissile Decision-Making

Fleet cooperative anti-missile (FCAM) decision-making is a key issue of fleet airdefense. The core problem is the operational optimization program. That is, under a givensituation of fleet anti-missile resources, how can be scheduled and distributed the anti-missileresources within the fleet to acquire the best FCAM effectiveness. The corresponding fleetanti-missile program is the goal of FCAM decision-making. In order to reach a scientific andrational FCAM program, based on the principle of the immune system, including theSynergetics theory, the principle of transfer matrices and transitive closure, Flexible workscheduling and dynamic programming, a comprehensive optimization method is used to studythe FCAM decision-making problem in detail, on four important aspects of FCAMdecision-making, for example, Judge the threat of incoming radiation, cooperative use of softand hard weapon in the fleet, the multi-stage multi-targets dynamic programming decisionsagainst single missile threat target and the fleet anti-missile weapon resource allocation andscheduling against missile saturation attacks, etc, some research results obtained are asfollows:1. Based on the Synergetics theory, Collaborative degree between soft weapon and hardweapon in the fleet is defined. The network structure of FCAM is put forward. The formula ofeffectiveness increment of nodes in the network is given, by making use of the artifical immunenetwork algorithm. This problem can be reduced to issue 0-1 knapsac., So the approach of theeffectiveness calculation of FCAM Cooperative network with multi nodes and combat schemeoptimization & decision-making can be found in order to optimize the decision of FCAM.To solve the problem of FCAM scheme optimum selection in operation, this paper hasprovided a method to optimize the FCAM scheme decision in chapter 2 and chapter 4. Basedon Synergetics, the collaborative degree between combat units is defined and calculated. Forgenerating and optimizing the FCAM combat scheme, a kind of network optimization methodto obtain the maxium effectiveness of the phase-divided directional cooperative network isfound. The structure of cooperative network is discussed. The concept of efficiency approvalnode is defined. The method of calculating and judgement of efficiency approval node isgiven. This method is applied to the multi target situation and can solve the cooperativeproblem between combat units. The artifical immune network algorithm is introduced to copewith the more and more nodes in the network. The equations to calculate the efficiency ofcooperative network are given. By making use of the characteristics of AIN algorithm inglobal optimization, the schmem decision with the maxium cooperative network efficiencycan be obtained. Finally this method is applied to optimize the FCAM scheme and and derivea reasonable result.2. The immune fuzzy neural network (IFNN) is introduced to judge the threat level of aradio emmitter Throuhg the test by using the standand date set (UCI), it is shown that IFNN have better sorting capacity than FNN. When the immune programing is used to extract thefeatures of radio emmitter, the straightforward rules come directly out of to judge the threatlevel of emmitters artificiallyModern electronic warfare system must judge the threat level of coming radio emitterscorrectly in order to counter them by the limited fleet anti missile resources effectively. Thisdissertation puts forward a new strategy to judge the radio emitter threat level (RETL) basedon the immune fuzzy neural network (IFNN) in chapter 3. It firstly gets the membershipdegrees of the input data. Then the input data is classified. A trained immune fuzzy neuralnetwork (IFNN) with approaching ability gives the threat level. The RETL judgment rulescould be mined by using the immune programming algorithm. The correctness andeffectiveness are proved in the experiment.3. Combining the fuzzy optimization theory with dynamic programming principle, a newmethod for solving the multi-stage multi-objective optimization based on collaboration toobtain the optimum balanced tactic is put forward to optimize the combat scheme in FCAMwhen the anti missile effectiveness and resources consumption as well as other facters areconsidered at the same time. Immune programming algorithm is introduced to cope with alarger number of stages and objectives.Shipboard hard & soft weapon coordinated anti-missile is a multi-stage multi-objectivesystem. Based on the concepts of the fuzzy weighted distance and membership degree, considering the cooperative relationship in different stage, combined the fuzzy optimumselection theory with dynamic programming methodology, this dissertation provides a newmethod for solving the multi-stage multi-objective optimization based on collaboration toobtain the optimum balanced tactic in chapter 6, which is applied to solve the collaborativedecision optimization problem of FCAM by shipboard hard & soft weapon system and givessome instructive results.4. According to the principle of Flexible Scheduling, the clonal selection algorithm isapplied to establish the model of fleet anti-missile job-shop schedule (FAMJSS) and tosimulate. Aim at the specific requirement of combat job-shop schedule, an effectivechromosome matrix coding project, for a kind of specific antibody data structure, and affinitycalculating algorithm, expressing the anti-missile successes probability, are put forward. Aclonal immune operator is given to produce a high effective result. Compare with the currentheuristic approach, the Immune Algorithm can get better keys to realize the maxiumeffectiveness for fleet to counter the hostile missile's Saturation attacks.In order to enhance the integrated anti-missile ability of fleet, and effectively make fulluse of anti-missile resources of fleet to cope with the situation with many kinds of missilethreats at the same time, the clonal selection algorithm is applied to establish the model offleet anti-missile job-shop schedule (FAMJSS). Aim at the specific requirement of combatjob-shop schedule, an effective chromosome matrix coding project, for a kind of specificantibody data structure, and affinity calculating algorithm, expressing the anti-missile successes probability, are put forward. A clonal immune operator is given to produce a higheffective result. Arithmetic convergence has been proved theoretically. An FAMJSS exampleillustrates the correctness and effectiveness of this algorithm. Compare with the currentheuristic approach, the Immune Algorithm can get better keys. The specific coding can obtainthe whole range anti missile dynamic schedule. The secondary response mechanism can beused to accelerate the fleet's response to the coming missiles.Based on the above-mentioned research method and conlusion, the comprehensivesimulation system of FCAM is highly integrated in chapter 7 and the composition of softwareand hardware is shown. The models of operation and maneuvering of each combat unit insimulation is listed. The simulation demonstration of FCAM is realized on computer. Thecorrectness of above decision-making is tested in simulation.Finally, a summary is given and some problems to be further studied are discussed.