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Abstract--This article is based on H.264/AVC video coding standard, including analysis of the current UMHexagonS algorithm processes and problems, Optimization of the entire pixel search algorithm UMHexagonS and an improved sub-pixel search algorithm, and gives the improved UMHexagonS algorithm process ,describes its advantages. Experimental results show the improved efficiency of the algorithm, practical...
Adopt the concept of mutation in Genetic Algorithm to improve Particle Swarm Optimization. The experimental results show tow advantages for the mutation strategies. Firstly, It's workable for the algorithm and the performance was superior to fuzzy PSO and hybrid PSO; Secondly, the agitation strategy was more flexible.
At first, based on the thought over properly and the modern market competition, the flexible development of Circular Economy has been advocated as a new model of economy development. This development model can solve the externality problems better which have not been solved under traditional model. Then, in this paper, the"3+3"model of the flexible development of Circular Economy has been...
By analyzing the method of present generating test paper, the article represents a method of generating test paper based on genetic algorithm. A mathematical model for generating test paper is built. By putting forward the intercross operator and mutation operator in consistence with the independent coding, an automatic generation system for test paper is realized.
Study on production optimization and scheduling has always been the focus of attention and research by the scholars in manufacturing industry. After analyzing research achievements in manufacturing production informatization of several scholars at home and abroad, this paper regards the production schedule arrangements of small and medium-sized automobile parts enterprises as research object and uses...
Excitation system plays a key role in realistic simulation and analysis of the dynamic performance of electrical power systems to a large extent. Therefore, it is desire to obtain the real parameter of the excitation system in order to study the dynamic performance of power systems. This paper presents a practical technique to address the excitation system identification. The measurement was performed...
Based on the principle of Mahalanobis distance discriminant analysis, the discrimination of influential degree of the different index to optimization of supporting programs for deep foundation pit is taken into account, using the weights obtained by the analytic hierarchy process to modify the Mahalanobis distance, by the new calculation method of covariance matrix, the weighted distance discreminant...
Because traditional approaches for solving the simultaneous localization and map building (SLAM) problem have the limitation of computational complexity, imprecision of filter algorithm and fragile data association, soft computing technique has been used to solve the problem. In this paper, we reviewed the state of the art of the application of evolutionary algorithm, fuzzy logic and neural networks...
As the complexity of under the condition of large-scaled resource-constrained multi-project duration optimization problems, it is difficult to give its analysis solution. With the network technology in this paper, taking the minimum number of the multi-project weighted duration as the goal, then establish a mathematical model for the optimization problem. In view of the basic cellular automaton topological...
This article takes the Life Cycle Cost (LCC) of power generation equipment as the Optimization object, to establish a complete optimization program for equipment management in the equipment life cycle. The key links of the life cycle will be found by the technical and economical methods, and then certain technical and management methods will be used to realize the optimization of the key links. The...
For coal transportation in the shunting and winch system PID tuning is proposed adaptive genetic algorithm for parameter optimization of PID control, the adaptive line genetic algorithm combined with PID control technology, simulation achieved by shunting and winch system in the coal application, simulation results show that the online adaptive genetic algorithm for online optimization of PID parameters...
The negative effects of generating power through burning coal on China's ecology are expounded. On the basis of the discussion of the development and application of new type power sources, the paper analyzes the urgency and flexibility of optimizing the structure of the sources of electric power supply and puts forward some countermeasures to the problems.
According to the demand of exploitating the poor-thin oil layer in Daqing oilfield, retrievable bridge plug is designed. The seal capacity and the clamping function which are respectively accomplished through the seal ring and the slip are the key techniques of bridge plug. For the aim of designing the seals better to generate an effective sealing effect against the well wall, firstly, the sealing...
The constrained hydroelectric unit commitment problem is turned into an unconstrained optimization problem by means of penalty function method, and to improve the diversity and search ability, the classical particle swarm optimization (PSO) approach is enhanced by incorporating a genetic crossover operator and a self-adaptive decreasing inertia weight. Then the enhanced PSO is used to solve the hydroelectric...
Against the low efficiency of training on large-scale SVM, a reduction approach is proposed. This paper presents a new samples reduction method, called bistratal reduction method (BRM). BRM has two levels. The first level is coarse-grained reduction. It deletes the redundant clusters with KDC reduction. The second level is fine-grained reduction. It picks out the support vectors from the clusters...
This paper deals with a dynamical laser antimissile problem. The laser antimissile system can destroy many targets in a short time, the attacking sequence plays an important role in practical implement. This laser antimissile problem can be seen as a dynamical traveling salesman problem. This paper introduces an enhancing algorithm to solve this problem based on three exchange strategies - the near...
Establishment of the optimal objective function is the first and a vital step for optimum design. The foundation pit engineering design is a procedure of multi-objective optimization and multi-objective decision. Some of these objectives can be quantitatively calculated, while others cannot. In order to make a comprehensive analysis of the effects of various factors on the optimum design of foundation...
The social cognitive optimization algorithm is one of the newest intelligent algorithms, and this algorithm can help the solvers to avoid tripping in local optimization when solving the nonlinear constraint problems effectively. The algorithm is based on the social cognitive theory and the key point of the ergodicity is the process of refreshing the knowledge points. Modified and optimized the conditions...
This paper presents a summary of recent developments in modeling and optimization of machining processes, focusing on milling operations. With a brief analysis of research on machining parameters selecting system, in this system, a compact selection method based on expert rules, which were obtained from experimental results and extracted from the knowledge of skilled operators, is presented. Expert...
Construction of underground natural gas storage is a large, complex, with multi-objective nature of the projects. Vague Sets Based on Underground Gas Storage solution design are optimized. Examples show that it is convenient and feasible. Proposed single-value data into the data of the formula Vague, Vague sets introduce new similarity measures between the new formula, these two types of formula as...
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