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A hybrid genetic algorithm with the fuzzy logic controller is developed for the high-efficiency power control of a wireless power transmission system for electric vehicles. For power regulation, the constant-frequency phase-shifted PWM is applied to regulate the inverter transmission power. In traditional genetic algorithms, a large search interval was required to avoid getting stuck in local optima...
We propose a discriminative DGMS (dynamic Gaussian mixture selection) strategy to enhance restructuring of a pre-trained set of Gaussian mixture models to cover unexpected acoustic variations at run time in automatic speech recognition. The number of Gaussian components in each hidden Markov model (HMM) state set aside is determined by a minimum classification error criterion. We also use a genetic...
This paper describes a method to enhance the capacities of substation informatics and ensure greater insight into the useful information that is contained in the data sets associated with all the intelligent electronic devices (IEDs) in a substation. A soft computing technique based on rough sets can extract useful information from large quantity of data captured by protection, control and monitoring...
The cooperative control of both electrode remelting rate and position was applied in order to obtain optimal electroslag remelting metallurgy effect and improve melting production efficiency. The electroslag remelting process model was analyzed. Cooperative controller parameters were optimized by improved genetic algorithm based on ITAE criterion. The dynamic performance was analyzed to electroslag...
With the coordination and collaboration mechanism in MAS (multi-agent system), a task matching & scheduling model of HA (hybrid avator) team in CVE (collaborative virtual environments ) is created. The energy consumption to complete the task is minimized by finding the best task matching & scheduling strategy on the precondition that HA agent in the team satisfies the dependence and restriction...
In order to describe the relationship between strategies of various agents, the concepts of the influence degree and the strategy dependency are presented. Accordingly, an approach for reducing a graphical model is given, and the relationship between the discrete degree and the approximate degree is developed, and then the genetic-algorithm-based approach for computing approximate Nash equilibrium...
Coalition formation is a key problem in multi-robot cooperation. The formation of multi-robot cooperation for single or multi-task is settled via finding the coalition maximum value or the coalition structure with the largest total coalition value. Traditionally, exhaustive method is used to get the optimal coalition or coalition structure with huge consumption in both computation time and communication...
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