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The superconducting magnetic energy storage (SMES) system has an attractive potential in power systems. Solenoid coil, one important configuration of SMES, can be simply built and provide highly stored energy per unit of the conductor. This paper suggests a novel two-objective optimization design model of solenoid coil. The objectives include the(More)
Solenoids can be simply built and provide highly stored energy per unit of the conductor. A novel two-objective optimization design model of the superconducting magnetic energy storage (SMES) solenoid system has been suggested. The objectives include the minimization of the solenoid coil volume and the whole magnets volume. Three constraints are considered,(More)
One of the methods to solve knapsack problem is the variable-length representation approach based on genetic algorithm (GA). The original variable-length representation approach has the problem of low efficiency. In this paper we present a improved approach. In the early stage of the evolution, the heuristic searching method is applied to search better(More)
A hierarchical clustering genetic algorithm which used hierarchical clustering based fitness sharing method was designed. Special designed inner-species selection and inner-species/inter-species crossover are used to improve the search ability. The results of several benchmark problems show that this algorithm is quite effective at the optimization of(More)
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