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The design of lever amplification mechanism plays the crucial rule in the performance of double-feet piezoelectric linear motor which is based on the lever amplification principle. The kinematic principle of double-feet piezoelectric linear motor based on the lever amplification mechanism was analyzed and the dynamic model of the lever amplification mechanism based on the flexure hinge was established...
Learning is the core of intelligence algorithm. Genetic algorithm (GA), as an intelligent algorithm, has its own learning mechanism. This paper focuses on the learning matrix of evolutionary operators in GA. From the viewpoint of solution generation, the learning mechanism in GA is studied and the matrix expression of recombination and mutation is given. A new insight of GA from learning viewpoint...
In this paper, the multi-mode resource-constrained project scheduling problem (MRCPSP) is considered. The MRCPSP is extremely complex and is known to be NP-hard problem. In order to obtain satisfactory sub optimal solutions within a reasonable amount of computational time, various met heuristic techniques have been developed to solve MRCPSP. For a metaheuristic algorithm, too much emphasis on the...
In this paper, a method with tabu search and multi-population based genetic algorithms for path planning is proposed. Different genetic operators are compared in order to find the fittest genetic operator. The simulation indicates that the tabu search heavily enlarges the search efficiency, and multi-population technic combine with different fitness functions can avoid trapping into local optimal...
The radio frequency spectrum is a scarce natural resource, so it is very important to use the spectrum efficiently. Cognitive radio, which can greatly improve the spectrum utilization, is able to adjust the transmit parameters according to the environment. In this paper, an adaptive multi-objective genetic algorithm is proposed to design the cognitive radio engine. In order to improve the performance...
Interactive genetic algorithm (IGA) was analyzed from the viewpoint of system, which help to understand IGA better. As a system, IGA is composed of user-subsystem, evolutionary-subsystem, and two information transfer interfaces. User-subsystem has the feature of fluctuation of preference and evolutionary-subsystem has the feature of fitness noise. These two features make some negative influence in...
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