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Energy-efficient dynamic resource control problem in buffer-aided hybrid sensor networks is investigated, where each sensor with one buffer is introduced for data storage. The considered problem is formulated as a stochastic optimization problem, which jointly considers the quality-of-service requirements and dynamic characteristics. The Lyapunov optimization theory is applied to transform the intractable...
In this paper, we introduce a Newton-based approach to stochastic extremum seeking and prove local stability of Newton-based stochastic extremum seeking algorithm in the sense of both almost sure convergence and convergence in probability. The advantage of the Newton approach is that, while the convergence of the gradient algorithm is dictated by the second derivative (Hessian matrix) of the map,...
In this paper, a novel optimized genetic algorithm based on morphology for target detection from infrared images is proposed. In our improved algorithm, a new fitness measurement method based on target characteristics value is introduced to meet specific target detection needs. Male and female parent dynamic clustering methods are put forward to make crossover operator more reasonable. Besides, multi-population...
An algorithm of improved AO* based on discrete binary particle swarm optimization (DBPSO) with additional random item is proposed, which can solve the Optimal Test-sequencing Problem (OTP) in large-scale complicated electron system. DBPSO optimizes the test sets which can isolate the expanded node in AO* algorithm to decrease the number of node. The result of real operation show that this algorithm...
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