Intelligent sensors on unmanned submarine design selection system using neural networks and algorithms, spiders community

Always a correspondence one by one between the power source is working. Including intelligent unmanned submarines challenges they face is their limited energy resources. The only source of energy in an intelligent unmanned submarines are batteries. Given that it is impossible to charge the batteries in the depths of the sea, we are forced to conserve energy. The most effective way to save energy is a smart choice set of sensors so that the minimum number of sensors to achieve maximum efficiency. The spider assembly algorithm in finding the global optimum and achieve convergence is very powerful, we use. At the end of the simulation results and algorithm-based biogeography, biogeography-based optimization algorithm with chaotic maps, particle swarm algorithm, genetic algorithm, algorithm firefly, particle Cuckoo compared algorithms