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In this paper, a High Precise Optimization Algorithm for manipulating multi-layered feed-forward neural network is studied. Its basic principle is: defining neural network average error as objective function, weights and thresholds as design variables, through design variables rationally sorted, objective function is dynamically formed. Compared the new method with BP, the optimum step-length can...
When solving complex function optimization problem, Differential evolution(DE) algorithms may suffer from low convergence rate. In this paper, we propose an improved differential evolution algorithm named n-IDE. Our algorithm uses Gaussian sequence to dynamically generate zoom factors and applies an improved hybrid mutation strategy to individuals in order to improve the overall performance. We compare...
According to the flight path planning problem in dynamic environment, this paper gives a method of analysis. First, the radar threat field based on Voronoi diagram is created, and the track performance indicators established based on radar threat cost and fuel cost. Then the dijkstra algorithm was improved, and the algorithm is used for path planning in dynamic environment‥ Finally, the simulation...
This paper introduces the implementation process of intelligent vehicle path planning, including the establishment of environmental models, path search algorithm, as well as the visualization of digital map. Firstly, the article introduces the path planning and several algorithms; secondly, the A * algorithm is described, as well as the representation of environment model; thirdly, the article introduces...
Due to the closeness between theory and industrial practice, the scheduling problem has been investigated by many experts and practitioners. The mode of continuous casting and hot charge rolling in the steel making is one of the important research areas. Limited buffers and due dates of jobs which characterize the problem here investigated. Based on the analysis from a new angle, a hybrid algorithm,...
With the development of intelligent algorithm, GA and PSO have become the hot spot for the study on multi-objective optimization in recently years. Information sharing is the core of PSO algorithm, Comparing with GA, PSO algorithm has less variables to adjust and is easy to achieve, so it is widely used in engineering. This paper focus on the comparation on several PSO algorithm and introduce a kind...
This paper develops an opposition-based learning harmony search algorithm with mutation (OLHS-M) for solving global continuous optimization problems. The proposed method is different from the original harmony search (HS) in three aspects. Firstly, opposition-based learning technique is incorporated to the process of improvisation to enlarge the algorithm search space. Then, a new modified mutation...
Focusing on the problem of the input and output data both contain measurement noise in linear time invariant system, this paper proposes that utilizing Tikhonov regularization of total least squares to solve the ill-poseness in process of adaptive dynamic programming. By applying the presented algorithm, the designed controller is obtained through the input and output data of the system, i.e. the...
An approach with decomposition on time windows is proposed to solve resource-constrained project scheduling problem (RCPSP) in this paper. This approach is to decompose the feasible space calculated by CPM of the original problem into some subspaces, which are searched using some schedule schema. Double justification is also performed in the search to improve the results. The results of experiments...
The traditional control methods are not able to keep control performance in a high level because response speed becomes more important for industrial control. This paper presented a fast predictive control algorithm, which was easy and simple to calculate and the principle of algorithm was very clear and greatly improved the speed of response and calculation, as well as demonstrated the principles...
According to the bottleneck process- copper electroplating of the repair process for continuous casting crystallizer copper, a genetic algorithm is designed to solve its scheduling problem, including the coding, the decoding, the crossover and mutation. Through the analysis of simulation experiments, compared with the use of the manual mode and the heuristic algorithm, the genetic algorithm shows...
In this paper, we consider a multi-vehicle coordination problem (MVCP), in which heterogeneous vehicles with different resources cooperate to accomplish a set of tasks. The distinct characters of MVCP are the duration of each task may vary within a given interval, and the objective is to allocate and schedule the vehicles to maximize the total time slacks between tasks given the deadline. The time...
Aiming to the robot path planning problem in the unknown complex environment, this paper presents an improved Sensor-based Random Tree (SRT) path planning algorithm. First, RRT and SRT path planning algorithms are briefly introduced. Then, an original algorithm which uses the real-time local information from robot sensors and the target tendency method to make the online planning is presented. The...
This thesis, subject to the obstacles exist throughout the process of tuning and optimization of the prevailing DC Double close-loop PID controller parameters, explains to realize the tuning and the optimization of PID controller parameters by introducing the Artificial Bee Colony Algorithm on the basis of Nectar Collecting Behavior to the DC Double close-loop tuning system. The comparison and the...
Wireless sensor network (WSN) is a kind of dynamic self-organizing network. It can be applied to military, environmental monitoring, industry and transportation fields. According to the characteristics of energy constrained wireless sensor networks, it is more significant to design an energy efficient wireless sensor networks in practice application. The affinity propagation clustering algorithm,...
An improved harmony search algorithm is presented for solving continuous optimization problems in this paper. In the proposed algorithm, an elimination principle is developed for choosing from the harmony memory, so that the harmonies with better fitness will have more opportunities to be selected in generating new harmonies. Two key control parameters, pitch adjustment rate (PAR) and bandwidth distance...
This paper analyses and studies genetic algorithm and classical clustering algorithms, and then the demand analysis and design of the personnel management system of Shenyang Administration College. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation...
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