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In order to improve precision of the filter's parameters and performance indexes, meet the real-time requirements, an evolvable hardware structure and design method for an analogue evolvable transconductance filter was presented. Genetic operations, multi-objective fitness functions and migration strategy to multi-objective parallel genetic algorithm was improved. Evolutionary efficiency of the algorithm...
Emergency distribution route decision making is the key of emergency distribution management. After the detailed analysis of the emergency distribution characteristics, this article put forward the optimized route by genetic algorithm based on the model of emergency distribution VRP.
Micro-Air-Vehicle (MAV) is small and light. So it is very easily affected by action of various disturbing and disturbing torque. The MAV is also nonlinear and variable coefficient, pure delay, inertia, cross-coupling etc. These characteristics make the control of the aircraft get more complicated. This thesis takes advantage of the characteristic of Genetic Algorithm (GA) optimization control, combined...
Because have very high ability of overall situation searching and convergence speed, show excellently in keeping solution variety, the niche genetic algorithm(NGA) is widely used to solving various kinds of combination optimization problem, but the traditional niche genetic algorithm(T-GA) have the problem that the discrimination standard of Euclidean distance between two individuals is not development...
Reasonable site testing can guarantee the balance development of logistics system and relieve traffic congestions of cities, so as to promote the sustainable development of social economy. By analyzing and comparing several widely used site testing methods, such as Analytic Hierarchy Process (AHP), Cluster Algorithm, Centre of gravity method and Genetic Algorithm (GA), the paper chose the best method...
Based on CDIO engineering teaching idea, the essay constructs online judge system model of software project design in network teaching platform with software testing technology. The essay solves the problem of automatically generated black-box test cases with genetic algorithm and structure test of abnormal operation program with the method of key points matching, improving learning efficiency of...
To avoid the BP (Back-Propagation) Network's disadvantages of low training speed, prone to trapping in a local optimum and poor capability of global search, this paper establishes the model of manual neural network energy prediction system based on generic algorithm with the research on the Mn-Si alloy smelting of a steel company, by optimizing the initialized weights and threshold of neural network...
With the development of multi-core technology, the number of processing core is growing dramatically. In order to make full use of these processing cores of such large number, this paper proposed a task scheduling algorithm on the basis of task duplication, which is composed of three steps of operations so that threads are allocated to processing cores more suitably. This algorithm not only increases...
In this article, a real-time, accurate and objective identification of different varieties of corn seeds is proposed, which is a large number of original features, contained color, texture and shape features, were extracted from corn seed images. Then, genetic algorithm and support vector machine (SVM) were used to select important ones and determine species. The proposed methods have optimized varieties...
This paper presents a method of constructing the self set of the intrusion detection system which based on the immune algorithm. It combined the niche technology into the clonal selection algorithm to construct the self set. Keep the diversity of the data of the self set. Comparing with the traditional methods which use a priori knowledge and random selection, the new method can reflect more characteristics...
In a given performance requirements, Frequency sampling FIR filter design's goal is as far as possible approximate the ideal filter to reduce the approximation error. Genetic algorithms is a mimic biological evolution global optimization search algorithm, which has strong global search ability and has been successfully applied to a variety of optimization problems. in this paper the frequency sampling...
In the paper we present an improving immune genetic algorithm based on chaos theory. The over-spread character and randomness of chaos can be used to initialize population and improve the searching speed, and the initial value sensitivity of chaos can be used to enlarge the searching space. To avoid the local optimization, the algorithm renews population and enhances the diversity of population by...
In this paper we establish a new algorithm based on greedy method and Genetic Algorithms to solve course timetabling problem. Timetabling is a kind of problem in which events (classes, exams, courses, etc) have to be arranged into a number of timeslots such that conflicts in using a given set of resources are avoided. First, the greedy method is used to achieve automatic course arrangement and obtain...
The kernel clustering algorithm under the organic combined model of the GA and the PSO was put forward. According to the customers' data of certain, this kernel clustering algorithm was applied to classify the Refueling customers into three groups: the first group includes 3 customers, 5 and 7 customers for the second group and the third group respectively. The result shows that the samples can be...
Based on the fuzzy programming, this paper puts forward fuzzy time optimal path concerning military traffic and transportation by building fuzzy chance-constraint programming and fuzzy dependent-chance programming. The methods based on genetic algorithm are designed and the problems of necessity node and prohibition node are also dealt with. Finally, an example shows that this algorithm is simple,...
The complex autocorrelation in the combinatorial optimization process of genetic algorithm usually makes it difficult to find a good solution. In this paper an optimization algorithm based on the autocorrelation theory is proposed to simulate the natural process of the population change, which includes the following steps: (1) initialization of the populations; (2) Computation of the fitness of the...
An improved adaptive genetic algorithm was presented on the basic of the further study of genetic algorithm. We improved the crossover operator and mutation operator and introduced the optimization operator and mutation operator. Finally, simulation result shows that, the improved adaptive genetic algorithm effectively resolves the problem of standard genetic algorithm that convergent speed is slow...
This article proposed an algorithm for solving traveling salesman problem from the perspective of geometry. At a given planar point distribution, search remote border points and connect these points to form a polygon circuit called outer ring including all the points, according to the same principle, search a polygon inner ring circuit among the points that aren't in outer ring. According to the principle...
This article in-depth analysis of vehicle routing problem, comparing advantages and disadvantages of relevant optimization algorithms application used in vehicle routing problem, put forward a ring construction algorithm, under the premise of vehicle constraints, aim at minimizing the distribution routings, in demand points distribution, search border points and connect them to be a periphery circle...
This paper introduces a speedup method for the optimal route calculation on large size road networks by preprocessing and pre-computing. A hierarchical network structure is constructed by separating a large network into several subnetworks. The boundary nodes partitioned the original network are new nodes in the higher level network. The new road sections on the multilevel network are decided by pre-computing...
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