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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...
In this paper, it is to apply genetic programming to explore some new chaotic systems. Based on a tree representation, each function in the state dynamical equation of a chaotic system can be well defined. Thus, through the optimization process governed by genetic programming, it is demonstrated that some new potential forms can be determined, for which chaotic systems are obtained by having tuning...
This paper presents a hybrid intelligent method to design Morphological-Rank-Linear (MRL) perceptrons to solve the Software Development Cost Estimation (SDCE) problem. The proposed method uses a modified genetic algorithm (MGA) to determine the best particular features to improve the MRL perceptron performance, as well as its initial parameters. Furthermore, for each individual of MGA, a gradient...
Swarm Intelligence is the one of the most efficient and emergent techniques for global optimization. Artificial Bee Colony Algorithm (ABCA) is one of the new swarm intelligent population-based meta-heuristic approaches, inspired by foraging behavior of bees for function optimization. To enhance the efficiency of ABCA optimizer this paper proposes a novel hybrid approach involving genetic algorithms...
Intrusion detection systems (IDS) usually trigger a great number of alarm messages that frequently overwhelm their human operators. Hierarchically clustering technique is able to help IDS operators to get meaningful overviews from the great number of alarms. A dilemma is encountered when the clusters are generated. If the clusters are obtained one by one, they cannot be prevented from overlapping...
Premature convergence is the main obstacle to the application of genetic algorithm. This paper makes improvement on traditional genetic algorithm by linear scale transformation of fitness function, using self-adaptive crossover and mutation probability and adopting close relative breeding avoidance method. Simulation results show that the improved algorithm outperforms traditional genetic algorithm...
This paper discusses an energy constrained distributed estimation in wireless sensor network (WSN) based on frequency and time division multiple access (FTDMA). In a measurement with WSN, sensors transmit observed quantized data to a fusion center (FC) via radio communication channels, to obtain a final estimate. Such systems require a multiple access technique such as time division multiple access,...
In this paper, design and implementation of stabilizing controller for Rotary Inverted Pendulum (RIP) which is an underactuated nonlinear mechanical system, is presented. A sliding mode-state feedback control scheme is proposed for the stabilization of the RIP system. In this scheme, genetic algorithm based state feedback control and sliding mode control (SMC) combined. After swinging up the pendulum,...
In this paper, the optimum configuration of superfluous cables in redundant planar cable-suspended robots for minimum time trajectory is investigated. Both cable tensions and cable velocities are assumed to be limited. The bounds on the cable tensions and velocities are transformed into the bounds on the acceleration and velocity along the specified path. Assuming bang-bang control and using genetic...
Caricature synthesis is becoming one of the most challenging research problems nowadays, especially for 3D caricature. In this paper, we present a novel approach for 3D caricature synthesis adopting genetic sampling in eigenspace. Our approach aims to generate 3D caricature which has not only exaggerated effect but also facial feature of real face. Firstly, we build 3D caricature components eigenspaces...
A general new methodology using evolutionary algorithm viz., Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi Objective Particle Swarm Optimization (MOPSO) for obtaining optimal tolerance allocation and alternative process selection for mechanical assembly is presented. The problem has a multi-criterion character in which 3 objective functions, 6 constraints and 11 variables are...
Optimization problems are ubiquitous and consequential. In fact every sphere of human activity that can be quantified can be formulated as an optimization problem. The focus of this work is on Global Optimization which is not only desirable but also necessary in many cases. In the past few decades several Global optimization algorithms have been suggested in literature out of which stochastic, population...
Inverse analysis of rock displacement is a kind of new way of studying the parameter of physical power of rock, a lot of researchers have carried on research in this respect, and some researchers among them ask solving this question with the genetic algorithm. This paper apply master-slaver model parallel genetic algorithm (MSM-PGA ) to solve inverse analysis of rock displacement, in the course of...
A flux linkage estimation method for induction motor based on extended Kalman filter theory (EKF) is presented in this paper. In order to improve the accuracy of filtering, genetic algorithm (GA) is introduced to optimize the noise matrix, and also filtering parameters in EKF. Simulation results show that the flux observer with optimized filtering parameter has better estimation accuracy and dynamic...
A novel design method of a multi-section transmission-line transformer (TLT) for simultaneously matching multi-arbitrary frequencies and an arbitrary load is developed, based on an ideal transmission-line circuit mode and optimization design using genetic-algorithm techniques. Optimum design equations of the TLT are derived, and the related algorithm and procedure are described. In order to test and...
The Selective Harmonic Elimination (SHE) PWM technique has become a significant PWM method for less switching loss for three-level neutral-point-clamped (NPC) inverter. This paper introduces an online optimization approach to the SHEPWM technology based on genetic algorithm and BP neural network. The method doesnpsilat need to preset the initial values and to predict the trend of these values over...
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