... convergence and provides excellent quality of final result. Performance of the proposed APSO is compared with those of the real-coded genetic algorithm (GA) and PSO with linearly decreasing inertia weight (LDW-PSO), in terms of the parameter accuracy and convergence speed. Simulation results illustrated...

... be considered for controller designing. According to model uncertainties, the probabilities of satisfaction for every item of dynamic performance requirements were computed and synthesized as the cost function of genetic algorithms, which was used to optimize the parameters of decentralized PID controllers...

... and, subsequently, versus time. The proposed approach is validated and the effect of the number of superfluous cables on the value of minimum time is studied. The next notable challenges include time optimal path planning of cable-suspended robots. By developing a hybrid genetic algorithm and bang-bang control...

...; the MOEA nondominated sorting genetic algorithm II and a hybrid-game strategy are implemented to produce a set of optimal collision-free trajectories in a three-dimensional environment. The resulting trajectories on a three-dimensional terrain are collision-free and are represented by using Bézier spline...

.... Optimization is achieved by using an elitism based genetic algorithm (GA). The second controller uses a nested GA resulting in an intelligent linear quadratic regulator/linear quadratic Gaussian (LQR/LQG) controller design. The GAs in this controller are used to find the minimum distance to uncontrollability...

... pattern, is given as a training signal. In this paper, the operation results of the system obtained via genetic algorithm (GA) were used as the training signal for the neural network. Operation planning (the amount of hydrogen production and the amount of exhaust heat storage) of the system on arbitrary...

... a set of seismic excitation. Comparison with widely used clipped-optimal strategy has also been shown. 11 01 2008 02 11 2008 05 02 2009 magnetorheology vibration control stay cable vibration structural control fuzzy logic genetic algorithms dynamic inversion...

... hopping motion. A heuristics-based search strategy and a genetic algorithm-based search strategy are implemented for finding the initial conditions that result in extended hopping motion. 19 01 2004 29 01 2007 legged locomotion search problems genetic algorithms robot dynamics...

...Ryan J. Link; David Zimmerman In this work, a general approach is formulated for updating the parameters of systems governed by multiphysics equations. The optimization technique is based on Genetic Algorithms (GAs). GAs represent a class of probabilistic optimization strategies loosely patterned...

... design. In this paper, a hybrid genetic algorithm-based parameter estimation strategy is proposed to improve the computational efficiency of GAs yet without losing their advantages. It starts with a GA to search for “good” starting points globally through the possible solution areas, and then applies...

... to guarantee robust stability for the systems via linear control. Linear matrix inequality (LMI) and genetic algorithm (GA) are used to seek the state-feedback gain without complex mathematics. 06 12 2003 04 05 2005 Boyd , S. , Ghaoui , L. , Feron , E. , and Balakrishnan , V...

... of the complex processes. A new adaptive least-squares (ALS) algorithm, based on the least-squares method and genetic algorithm (GA), is proposed for autonomous learning and construction of FBFNs without any human intervention. Simulation studies are performed to demonstrate advantages of the proposed modeling...

...Alan Pilch; Ajay Mahajan; Tsuchin Chu This paper presents an intelligent digital image correlation technique that uses genetic algorithms to measure surface displacements and strains. Speckle patterns are spray painted on the surface of interest and pictures taken before and during loading...

... dynamic response aerodynamics aerospace simulation genetic algorithms aerospace control The continuing development of microelectromechanical systems (MEMS) is pointing to the possibility of mounting complete sensor systems on medium- and small-caliber projectiles as part of an actively...

...Chein-Chung Sun; Hung-Yuan Chung; Wen-Jer Chang This paper is concerned with the synthesis of a mixed H 2 ∕ H ∞ robust static output feedback with a bounded control bandwidth for continuous-time uncertainty systems. To this end, genetic algorithms and a linear matrix inequality solver are employed...

...Shane Farritor; Steven Dubowsky This paper describes a genetic algorithm planning method for autonomous robots in unstructured environments. It presents the approach and demonstrates its application to a laboratory planetary exploration problem. The method represents activities of the robot...

... partial differential equations, the separation being allowed by a two time scale analysis of the system. The model has been identified, through a purposely designed genetic algorithm, and validated on experimental data. Contributed by the Dynamic Systems and Control Division for publication...