Applied Mechanics and Materials Vols. 365-366

Abstract: Based on the minimum mass as optimal objective function, it sets up an FE model of the truss structure. The Multi-Island Genetic Algorithm (MIGA) and NLPQL are adopted as the optimization policy. Experimented with a truss walking platform as an example the validity of the methods was proved. The results showed that the NLPQL can get better optimal solutions of structure and reduce the mass effectively. It has important theoretical value and practical engineering significance.

Abstract: ACIS is a graphics system development platform constructed with C++. It includes a series of C++ functions and classes. In this paper, ACIS and the ACIS-based deformation modeling technology are first introduced, and then an ACIS-based Deformation Modeling System is developed, which includes modeling, reading and writing, deforming functions and so on. The experimental analysis on the application of the deformation modeling system to reverse engineering is proposed, and it verifies its effectiveness in reverse design.

Abstract: Take the large load temporarily installed suspended access equipment ZLP3000 by self-designed as the prototype, the rigid-flexible coupling dynamic model of suspension rig was established by using ADAMS based on the virtual prototyping technology. First, the reliability and accuracy of the model were verified by analysis of the model dynamics simulation. Second, the sensitivity analysis report of model design variables were generated by the establishment of the suspension rig parametric model. Finally, the parametric model was optimized based on the results of the sensitivity, the optimum scheme of suspension rig force bearing point and steel wire ropes lifting position were obtained, which could provide the basis for the rational use and layout of the steel wire ropes and steel.

Abstract: The genetic algorithm applied to switch electrical appliances electric arc feature extraction, based on genetic algorithm, the switch electrical arc feature extraction model was established. The initial pool formation, evaluation individual, reproduction, crossover and mutation have done a detailed representation. This model can eliminate the slow convergence and so easy to fall into the local minimum shortcomings of BP neural network computing graphics weights. The experiment showed that genetic algorithm can better converge to the global optimal solution, more in line with the arc Feature Extraction fact, and more effectively improving the quality of graphics extraction.

Abstract: This paper develops an opposition-based improved harmony search algorithm (OIHS) for solving global continuous optimization problems. The proposed method is different from the classical harmony search (HS) in three aspects. Firstly, the candidate harmony is randomly chosen from the harmony memory or opposition harmony memory was generated by opposition-based learning, which enlarged the algorithm search space. Secondly, two key control parameters, pitch adjustment rate (PAR) and bandwidth distance (bw), are adjusted dynamically with respect to the evolution of the search process. Numerical results demonstrate that the proposed algorithm performs much better than the existing HS variants in terms of the solution quality and the stability.

Abstract: Harmony search (HS) algorithm is a good meta-heuristic intelligent optimization method and it does depend on imitating the music improvisation process to generate a perfect state of harmony. However, intelligent optimization methods is easily trapped into local optimal, HS is no exception. In order to modify the optimization performance of HS, a new variant of harmony search algorithm is proposed in this paper. The variant integrate the position updating of the particle swarm optimization algorithm with pitch adjustment operation, and dynamically adjust the key parameter pitch adjusting rate (PAR) and bandwidth (BW). Several standard benchmarks are to be tested. The numerical results demonstrated the superiority of the proposed method to the HS and recently developed variants (IHS, and GHS).

Abstract: Opposition-based modified differential evolution algorithm (OMDE) is proposed for solving power System economic load dispatch in this paper. This algorithm integrates the opposition-based learning operation with the crossover operation to enhance the convergence of the algorithm and to prevent the algorithm from being trapped into the local optimum effectively. Besides, we employed a new strategy to dynamic adjust mutation rate (MR) and crossover rate (CR), which is aimed at further improving algorithm performance. Based on 6 units and 13 units power system experiment simulations, the OMDE has demonstrated stronger convergence and stability than original differential (DE) algorithm and other improved algorithms that reported in recent literature.

Abstract: In this paper, a modified harmony search (MHS) algorithm was presented for solving 0-1 knapsack problems. MHS employs position update strategy for generating new solution vectors that enhances accuracy and convergence rate of harmony search (HS) algorithm. Besides, the harmony memory consideration rate (HMCR) is dynamically adapted to the changing of objective function value in the current harmony memory, and the key parameters PAR and BW dynamically adjusted with the number of generation. Based on the experiment of solving ten classic 0-1 knapsack problems, the MHS has demonstrated stronger convergence and stability than original harmony search (HS) algorithm and its two improved algorithms (IHS and NGHS).

Abstract: Liquid sloshing inside a partially filled rectangular tank has been investigated. The fluid is assumed to be water and the tank is forced to move along x axis to simulate the actual tank excitation. The volume of fluid technique is used to track the free surface and the model solves Navier_Stokes equations by the use of the finite difference estimation. At each time step, a donar-acceptor method is used to transport the volume of fluid function and locations of the free surface. In this paper the location and transport of the free surface in the tank have been investigated using a CFD code (FLUENT) for 3D configuration. The use of a numerical tool has resulted in a detailed investigation of these characteristics, which have not been available in the literature previously.

Abstract: GSAT is a well-known satisfiability search algorithm for conjunctive normal forms. GSAT uses some random functions. One of such functions is a function of starting population of truth assignments for the variables of conjunctive normal form. In this paper, we consider a method of artificial physics optimization for computing a function of starting population.