Showing papers in "Advances in Engineering Software in 2014"

TL;DR: The results of the classical engineering design problems and real application prove that the proposed GWO algorithm is applicable to challenging problems with unknown search spaces.

TL;DR: Enhanced Colliding Bodies Optimization (ECBO) which uses memory to save some best solutions is developed and a mechanism is utilized to escape from local optima.

TL;DR: The result showed that both of these two hybrid models have good performance in desirable accuracy and applicability in practical production, endowing them high potential to substitute the conventional regression models in real engineering practice.

TL;DR: A new and simple optimization algorithm is presented to solve weight optimization of truss structures with continuous variables and its capability in solving the present optimization problems is demonstrated.

TL;DR: A new combination of swarm intelligence and chaos theory is presented for optimal design of truss structures using chaotic swarming of particles (CSP), and the results are compared to those of the other meta-heuristic algorithms showing the effectiveness of the new method.

TL;DR: A rational virtual reality (VR)-based fire training simulator taking full account of the various aspects of smoke hazards has been developed and is described herein, which is shown to be valuable for the training of both people who might become trapped in fire and firefighters engaged in learning the proper rescue procedures.

TL;DR: A coarse-grained parallel approach for seismic damage simulations of urban areas based on refined models and GPU/CPU cooperative computing is proposed and can be 39 times as great as that of a traditional CPU approach.

TL;DR: A full three-dimensional FEA for the prediction of railway ground-borne vibrations and investigations with commercial FEA software ABAQUS are presented, with the development of an external meshing tool so as to automatically define the infinite elements at the model boundary.

TL;DR: It was found that the best optimisers for this design task are evolution strategy with covariance matrix adaptation (CMAES) and differential evolution (DE), and the best penalty function technique was discovered.

TL;DR: An efficient procedure to process the textile simulation data and generate realistic finite element meshes of woven composites is proposed and the models are used to predict effective elastic properties of an orthogonal 3D woven composite.

TL;DR: The paper shows the possibility of “randomizing” computationally intensive problems in the manner of the Monte Carlo type of simulation, in order to keep the number of required simulations at an acceptable level, Latin Hypercube Sampling is utilized.

TL;DR: A hybrid Teaching–Learning-Based Optimization algorithm (HTLBO), which combines a novel teaching–learning-based optimization algorithm for solution evolution and a variable neighborhood search (VNS) for fast solution improvement, is proposed for PFSP to determine the job sequence with minimization of makespan criterion and maximum lateness criterion.

TL;DR: A GPU implementation of a FV method for the 2D Shallow Water Equations is presented and some strategies on the mesh order allow to double the performance, reaching 50×.

TL;DR: A tradeoff optimal design point is selected from the Pareto solution set by means of a robust design based on Monte Carlo simulations, and the optimal solution is further compared with the value of the physical prototype test.

TL;DR: An open source program to generate zero-thickness cohesive interface elements in existing finite element discretizations is presented, filling the gap in the literature that, to the best of the author’s knowledge, there is no such program.

TL;DR: This paper presents EasyGR (Easy Gesture Recognition), a tool based on machine learning algorithms that help to reduce the effort involved in gesture recognition, and evaluated it in the development of 7 gestures, involving 10 developers.

TL;DR: This paper proposes an efficient response surface (RS) method to evaluate the reliability for structures using evidence theory, and hence improves its applicability in engineering problems.

TL;DR: The design and the prototype implementation of a wireless SHM system capable of autonomously detecting and isolating various types of sensor faults are shown and an outlook on possible future research directions is shown.

TL;DR: Bat inspired (BI) algorithm is examined in the context of discrete size optimization of steel frames designed for minimum weight in order to provide sufficient evidence for successful performance of the BI algorithm in comparison to other metaheuristics employed in structural optimization.

TL;DR: There appears to be a significant relationship between the algorithm efficiency and the evolution of the diversity index and this paper compares nine multi-agent meta-heuristic algorithms for sizing and layout optimization of truss structures with frequency constraints.

TL;DR: This paper uses new internal quality characteristics for selecting OSS that can be added to the dimensions of DeLone and McLean information systems' model that are tailored to the criteria having been built from literature study and standard for software quality and guidelines.

TL;DR: A multi-objective optimization model for multi-project scheduling on critical chain, which takes into consideration multi- objective, such as overall duration, financing costs and whole robustness is introduced.

TL;DR: A design methodology to predict optimum post-tensioning forces and dimensioning of the cable system for hybrid cable-stayed suspension (HCS) bridges is proposed, based on the combination of an FE approach and an iterative optimization procedure.

TL;DR: An accurate computational two-layered triangular strand 3D solid modelling, which is used for a finite element analysis, is presented and an accurate mathematical geometric model of spiral triangular wire strands with a construction of (3 + 9 and (3-+-9 +-15) wires is proposed.

TL;DR: This is the first work that directly maps a complete PSO process for multi-objective DSE for power-performance trade-off of application specific processors, based on the particle swarm optimization (PSO) for designing application specific processor (ASP).

TL;DR: The results indicate the importance of clearly characterizing feasible and infeasible solutions, according to the classification of design criteria as “soft” or “hard” respectively, and that the static penalty approach is not adequate, while the other techniques performed better, especially the e-Constrained and the Ho-Shimizu methods.

TL;DR: The object-oriented MATLAB toolbox FCMLab is introduced allowing for an easy start into this research field and for rapid prototyping of new algorithmic ideas.

TL;DR: Re-conducting the simulations at model scale dimensions, hence at relatively small Reynolds number, and without using wall functions gave results that are comparable to those found in the literature, therefore, use of wall functions can degrade quality of results in LES of high Reynolds number flows of practical interest.

TL;DR: A maturity model for the interoperability of ultra large scale systems is presented and by using the interoperable level of the component system of oneUltra large scale system its maturity level can be determined and their interoperability is improved.

TL;DR: A tool wear monitoring system based on relevance vector machine (RVM) classifier is constructed to realize multi categories classification of tool wear status during milling process because RVM has stronger generalization ability under small training samples.