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Several metaheuristic algorithms based on nature-inspired phenomena have been developed to optimize non linear functions. Evolutionary systems, swarming and human immune systems have helped in development of many optimizing algorithms like genetic algorithms, particle swarm optimization and CLONALG. A novel algorithm has been proposed based on the popular belief of reincarnation where human is considered...
With the help of fast and cheap information technology GPS navigators for car navigation are becoming very common. But unlike vehicle users, pedestrians form a more heterogeneous group having different levels of physical abilities with varieties of conditions, personal preferences and needs. The lack of data to support pedestrian navigation also imposes a harder challenge to design generalized navigation...
In this paper, we investigate the algorithmic complexity of deciding colorability, as a function of the number of available colors. Intuitively, one may assume that the problem's complexity is highest around the chromatic number of the graph. We give substantial empirical evidence that this intuition is largely true, both for exact and heuristic graph coloring algorithms. We give a rigorous proof...
Recently, various types of robots have been researched and developed for supporting our life. Also, the perceptual system for the robot is researched. Visual perception includes a lot of valuable information and it is useful for all intelligent robot system. In this paper, we discuss intelligent robot vision in order to active sensing and information structuring for human-robot collaboration system...
The paper firstly analyzes the ware location assignment policy in Automated Storage and Retrieval Systems, and then optimizes the loading-unloading path. It mainly optimizes the shelves number and stacker operating order, and solves the problem of stacker operating order with the genetic algorithm. The research would optimize the loading-unloading path of the AS/RS greatly and improve the loading-unloading...
The simple genetic algorithm is introduced at first. On the basis of many strategies to selector operator, crossover operator and mutation operator, the advanced genetic algorithm sufficiently considers the global optimum by generating new individuals in each generation, which guarantees the population's multiplicity and accelerates the evolved speed. The optimal design of permanent magnet generator...
This paper introduce the technology of electromotor control and protective electrical appliance intelligent, using the artificial fish swarm algorithm (AFSA) which is based on genetic algorithm to optimize the calculate of the intelligent ac contactor. According to the result of optimization design, we have made a showpiece, after the test and experimentation of the prototype; finally we got results...
Gear reducer is one of the most widely used methods in mechanical transmission, optimization of which is of great significance in improving the bearing capacity, prolonging service life and reducing its size and quality. By Visual Basic programming mixed with MATLAB, automatic optimization design for gear reducer is realized in the paper, design efficiency and quality greatly improved. Genetic algorithm...
This paper proposes a improved Genetic algorithm used in anti-missile systems, which is verified more efficient than the ordinary method. Experimental results simulated on 8 attacking objects was carried out. The improved Genetic algorithm improves normal Genetic algorithm by up to 6.07% in the average optimal time. These preferable results demonstrate the advantage of the adaptive Genetic algorithm...
In a MMSE Ultra-WideBand(UWB) selective rake receiver, the selection of optimal subset of multipath is important for the performance of system. As the optimal solution is NP hard, the Discrete Particle Swarm Optimization Multipath Selection algorithm (DPSO-MSa) was proposed. The DPSO-MSa can get near optimal performance after certain iterations. Simulation results are presents to compare with the...
Traditional algorithms of VRP often did not consider the loading rate of vehicle, which will partially effects the fuel consumption of the vehicle. So if considering the fuel consumption, there needs a new algorithm to find the optional route of VRP with lowest fuel consumption. Then the genetic algorithm of the model was designed and solved. The simulation result showed that the algorithm is a good...
Bass model have been used widely for diffusion curve of a new product in some countries of the world, but only a few studies have explored in the parameters' estimation of bass model. In this paper, Bass model is adopted to fit the diffusion curve of mobile subscribers of China with different parameter-estimation techniques respectively, such as NLS(Non-Linear Least Squares ) ,OLS(Ordinary Least Squares),...
As an effective global search method, genetic algorithm has obvious advantages. But it usually has problems of premature convergence and local optimum in practical application. According to this, a new algorithm with improved selection, crossover and mutation is proposed. Through the simulation experiments, the improved algorithm shows its faster convergence and better stability. It is valid which...
Support Vector Machine (SVM) is a useful technique for data classification with successful applications in different fields of bioinformatics, image segmentation, data mining, etc. A key problem of these methods is how to choose an optimal kernel and how to optimize its parameters in the learning process of SVM. The objective of this study is to propose a Genetic Algorithm approach for parameter optimization...
Selection of partners is one of the critical problems of Virtual Enterprise. In the paper, according to the deficiency in the existed quantitative methods, a partners-selection of optimization mathematic model is proposed, taking the advantages of simulated annealing algorithm and genetic algorithm, a hybrid genetic algorithm is used to slove the problem of partners selection in Virtual Enterprise...
This paper uses a dynamic method to analyze the direct gasification and melting incineration process. By using fuzzy methods, it solves a temperature control model that consists of 4 inputs and 2 outputs. GA (Genetic Algorithm) is used to construct the learning algorithm, which is able to find the optimum rule base. The simulation and field application results show that the GA-based fuzzy model can...
In this paper, some traditional methods used to solve complex functional equation were introduced at first, and then an improved ant colony algorithm based on DE operation is proposed. In the following, the algorithm given in this paper was utilized to get roots of complex functional equation, and satisfactory results are obtained. Some key technologies of the mathematical theory and algorithms about...
It is very important to forecast the ice thickness of Transmission Line for the safe operation of transmission network. The author had introduced artificial neural network(ANN) to the prediction of the ice thickness of transmission line, and proposed a predictive model based on GA and BP addresses on the defects of BP network includes slow convergence and easiness of running to local minimum, and...
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.
The research on the application of the 3-phase high power PWM (Pulse Width Modulation) rectifier in the battery charge and discharge device has been a hotspot in the field of power electronics and control. As the traditional PID controller is difficult to achieve the optimum parameters, this paper proposes a new control method of PWM rectifier based on Genetic Algorithm (GA). The design of the PWM...
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