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In this paper, taking the slice method as slope stability analysis model, a new method was presented to evaluate the slope stability combining with the self-adaptive genetic algorithm (SGA) simulating biological evolution. This method optimized the slope stability analysis model to overcome the local convergence, avoid precocity phenomenon and calculate the minimum safety factor by searching out the...
The vehicle routing problem is a classical NP (Non-deterministic Polynomial) problem, and it is usually difficult to obtain the satisfied solution by the traditional method. On the basis of analysis of the existing genetic algorithm, the vehicle routing problems is solved through the improved mutation operator and the genetic algorithm of natural number coding scheme. Experiment result indicates that...
Automatic path-oriented test data generation is not only a key problem but a hot issue in the research area of software testing today. Genetic algorithm (GA) has been used to path-oriented test data generation since 1992 and outperforms other approaches. A fitness function based on branch distance (BDBFF) has been applied in GA-based path-oriented test data generation. To investigate performance of...
Content-based image retrieval (CBIR) is an effective approach for obtaining desired image, however, due to the semantic gap between low-level visual features and high-level concept of image, CBIR system of state-of-the-art always can't achieve satisfying retrieval performance. In this paper, we propose a novel CBIR system framework. In order to bridge the semantic gap, the mechanism of relevance feedback...
In order to reduce tire tread pattern noise, an adaptive immune genetic algorithm (AIGA) is presented to optimize tire pitch parameters in this paper. According to character of tire pattern, the algorithm defines crossover, mutation and reverse order operation to improve searching ability. The multiple parameters optimization is discussed in this paper. The simulation results indicate that compared...
The teachers' title be divided into the professor, the associate professor, the lecturer and the teaching assistant in china's university, the different titles form a structure. How to seek the stable structure, to be very difficulty, and very few people studied on the question. In this paper, we establish a Markov model for the university teachers' title structure, and establish the optimized model...
Accurate electricity price forecasting can provide crucial information for electricity market participants to make reasonable competing strategies. Support vector machine (SVM) is a novel algorithm based on statistical learning theory, which has greater generalization ability, and is superior to the empirical risk minimization principle as adopted by traditional neural networks. However, its generalization...
This paper proposes a novel quantum genetic algorithm (NQGA) to search for the best polarity of fixed-polarity RM (FPRM) circuits with the objective of minimizing the area. In order to improve stability of the traditional quantum generic algorithm and its ability to search the global optima, even evolution is employed to update the qubit chromosomes, and reproduction as well as crossover operators...
The genetic algorithm is one kind of recent development parallel optimization algorithm, it suitable to solve the problem of automatic composing test paper. But binary-coded genetic algorithm has some disadvantages, such as lower operating speed, precocious convergence and so on. For these flaws, based on real-coded genetic algorithm has been put forward, and has been applied in the automatic composing...
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