Showing papers in "Advances in Engineering Software in 2005"

TL;DR: Evaluation of experimental results of a set of metrics shows that the Strength Pareto Evolutionary Algorithm achieves better overall performance than other MOEAs for the parameters considered in the test problem, providing a wide range of optimal pump schedules to chose from.

TL;DR: The non- newtonian effects in the flow of non-Newtonian fluids that can be modelled with generalised Newtonian constitutive equations are investigated using a numerical scheme based on the finite volume formulation.

TL;DR: Using neural networks within the framework of VSP creates a robust tool for optimum design of structures and reduces the computational cost of standard GA.

TL;DR: A fuzzy clustering-based algorithm for fuzzy modeling that incorporates unsupervised learning with an iterative process into a framework, which is based on the use of the weighted fuzzy c-means, which proves to be very accurate as well as compact in size.

TL;DR: Compared to most known wavelets as Haar, Daubechies, and Coifflet ones, the Beta wavelet family improves efficient results and performances presented in this paper for image compression context.

TL;DR: The method is developed for multi-objective optimization problems and is based on Genetic Algorithms to evolve an evenly distributed group of solutions to obtain the optimum Pareto set for the given problem.

TL;DR: The numerical simulation shows that sufficient vibration suppression can be achieved by means of the proposed general methods.

TL;DR: An investigation of the possible influence of modelling errors on the relationship between the entropy and hydraulic reliability of water distribution systems shows that any correlation between the redundancy or undercapacity due to the modelling errors and the hydraulic reliability is insignificant.

TL;DR: A comparative study of numerical explicit time integration algorithms used in the domain of shock and impact and it seems that the Tchamwa-Wielgosz and the Chung-Lee algorithms are particularly efficient in smoothing the highest frequencies.

TL;DR: In this article, the dynamic shop scheduling problem with dynamic disturbances such as machine breakdown and new job arrivals is modeled as a static group-shop-type scheduling problem and a metaheuristic is proposed to solve it.

TL;DR: Fuzzy c-means clustering can be successfully applied to classify regional fine grained soils on the basis of shear strength and plasticity index parameters and is capable of handling the uncertainty existing in soil parameters.

TL;DR: The performance of a self-organizing migration algorithm (SOMA), a new stochastic optimization algorithm, has been compared with simulated annealing and differential evolution for an engineering application and was found to outperform SA and DE.

TL;DR: The main goal of this work is the estimation of these parameters using genetic algorithms, such that some of the wind velocities observed at the measurement station are regenerated as accurately as possible by the model.

TL;DR: Testing of the trained neural network indicates good predictions of the concrete breakout strength of cast-in and post-installed mechanical anchors in tension, and the relationships between the concrete breakthrough strength of anchors and different influencing parameters obtained were in general agreement with those of the ACI 318-02.

TL;DR: A prototype expert system called HPCMIX that provides proportion of trial mix of High Performance Concrete (HPC) and recommendations on mix adjustment and recommendations regarding mix adjustment were compared favourably with those of experts.

TL;DR: This peaking factor approach coupled with the statistical modelling of demands provides a more realistic way of incorporating variations in demands in the evaluation and reporting of system performance than the traditional single demand value approach.

TL;DR: A knowledge-based system that is used for maintenance planning of highway concrete bridges and includes functions for maintenance priority setting among bridges, feasible treatment assessment in each case, and maintenance planning for a bridge stock is presented.

TL;DR: This paper introduces fuzzy clustering into the structural mechanics field as a tool to automatically assess stabilization diagrams and presents several advanced algorithms based on the Fuzzy-C-Means clustering technique, including the Gustafson-Kessel and Gath-Geva algorithms.

TL;DR: The present contribution describes a combination of the Threshold Accepting Algorithm with Differential Evolution with particular emphasis on structural optimization, it can be classified as a Hybrid Evolutionary Algorithm.

TL;DR: Numerical results obtained by the developed numerical algorithm show that the convergence of the developed DQEM analysis model is efficient.

TL;DR: The use of a state-diagram method in the computer aided logical synthesis and design of automation circuits is described and the corresponding software package developed for control logic creation is presented.

TL;DR: A FEM minimum weight with stress constraints (MWSC) formulation for topology structural optimization problems does not require any stabilization technique to produce acceptable optimized results, and could be considered closer to the engineering intuition than the traditional truss-like results obtained by means of the widespread maximum stiffness (minimum compliance) approaches.

TL;DR: The paper describes the simultaneous topology, material, standard and rounded dimension optimization of mechanical structures, performed by the Mixed-Integer Non-linear Programming (MINLP) approach and the development of a general multilevel MINLP formulation for a mechanical superstructure.

TL;DR: This study proposes a transient groundwater modeling using spreadsheet simulation (TGMSS) model for solving groundwater problems and showed that the TGMSS and MODFLOW results were in good agreement in terms of resulting values of hydraulic heads in all cases.

TL;DR: The computational results show that the proposed tabu search algorithm is typically more efficient and faster than the other methods proposed in the literature and has found some new best solutions of the benchmark instances.

TL;DR: The program is designed according to the independence axiom of axiomatic design, and independent modules can be generated by analysis of the full design matrix and each module is coded as a class in Object Oriented Programming (OOP).

TL;DR: Experiments were conducted on beams with openings spaced at different intervals along the web and it was observed that the OSB fractured from tension zones around an opening, with cracks developing diagonally towards the beam flanges.

TL;DR: In this contribution, a (µ + 1)-evolutionary strategy combined with an adaptive penalty function and a special selection scheme is presented to solve the optimisation problem of modular three-dimensional steel frames.

TL;DR: The tests carried out for the LJ-MM algorithm proved its high performance for multi-modal problems with sharp peaks in particular and showed that it is the robust solver even in cases of problems with a smoother function.

TL;DR: The aim of this study is to simulate the dynamic vertical response of a vehicle traversing rigid rails and a railway bridge by using the authors' wheel-rail contact element (WRC) to model the dynamic interaction that exists between a sprung wheel, using a Hertzian spring, and the rail.