In this paper the Differential Evolution algorithm is deployed to the robotic path planning optimization problem for autonomous mobile vehicles. At this stage, the simulations consider the robot world with level surfaces and static obstacles , in which the optimization is performed off-line. The global objective is to evaluate the differential evolutionary algorithm in solving path planning pro...

Abstract In this paper we present experimental results to show deep view on how selfadaptive mechanism works in differential evolution algorithm. The results of the self-adaptive differential evolution algorithm were evaluated on the set of 24 benchmark functions provided for the CEC2006 special session on constrained real parameter optimization. In this paper we especially focus on how the con...

through the last three decades different seismological and engineering approaches for the generation of artificial earthquakes have been proposed. selection of an appropriate method for the generation of applicable artificial earthquake accelerograms (aeas) has been a challenging subject in the time history analysis of the structures in the case of the absence of sufficient recorded accelerogra...

Most of the real-life applications have many constraints and they are considered as constrained optimization problems (COPs). In this paper, we present a new hybrid genetic differential evolution algorithm to solve constrained optimization problems. The proposed algorithm is called hybrid genetic differential evolution algorithm for solving constrained optimization problems (HGDESCOP). The main...

The multivariate exponentially weighted moving average (MEWMA) control chart is one of the best statistical control chart that are usually used to detect simultaneous small deviations on the mean of more than one cross-correlated quality characteristics. The economic design of MEWMA control charts involves solving a combinatorial optimization model that is composed of a nonlinear cost function ...

This paper presents a study on improving the estimation accuracy and convergence rate of hysteresis modeling MFC actuators using mutation enhanced differential evolution (MEDE) algorithm, modified version algorithm. The proposed MEDE algorithm uses three strategies, i.e., best, rand, pbest. To model secondary path smart flexible beam with actuators, Hammerstein that combines an asymmetric Bouc-...

In this paper we present experimental results of self-adaptive differential evolution algorithm hybridized with a local search method. The results of the proposed hybrid algorithm are evaluated on a set of benchmark functions provided by the IEEE Congress on Evolutionary Computation (CEC 2008) special session on Large Scale Global Optimization. Performance comparison of our algorithm with other...

This paper presents a Differential Evolutionary (DE) algorithm for solving multi-objective kinematic problems (e.g., endeffector locations, centre-of-mass and comfort factors). Inverse kinematic problems in the context of character animation systems are one of the most challenging and important conundrums. The problems depend upon multiple geometric factors in addition to cosmetic and physical ...

In this paper we present the design and performance analysis of a Proportional Integral Derivate (PID) controller for the Autonomous Power system model using Differential Evolutionary Algorithm (DEA) for optimization of different parameter that can be tuned to improve the performance of the system studied. Differential evolutionary algorithm is a branch of evolutionary algorithm which is quiet ...