this contribution presents a computational framework for simulation and gradient-based structural optimization of geometrically nonlinear and large-scale structural finite element models. CAGD-free optimization method...
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ISBN:
(纸本)9781905088416
this contribution presents a computational framework for simulation and gradient-based structural optimization of geometrically nonlinear and large-scale structural finite element models. CAGD-free optimization methods have been developed to integrate shape optimization in an early stage of design and to reduce the related modelling effort. To overcome the problem of an increasing numerical cost due to the large design space, the design sensitivities for objectives and constraints are evaluated via adjoint formulations. A new parallel computation strategy for sensitivity evaluation is presented which takes advantage of a completely parallelized simulation and optimization environment. Two application examples illustrate the method and demonstrate the high parallel efficiency.
In Egypt and in many developing countries, there is a high level of unemployment among youth with high and middle diplomas but with limited IT and computer programming skills or with limited ability to readjust to mar...
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ISBN:
(纸本)9789774033964
In Egypt and in many developing countries, there is a high level of unemployment among youth with high and middle diplomas but with limited IT and computer programming skills or with limited ability to readjust to market changes and new work requirements. this is sometimes attributed to a psychological barrier (e.g., fear or intimidation) to IT and computer programming. In this paper, we study the impact of a novel teaching method, namely the Alice 3D learning environment, proposed elsewhere for teaching computer programming concepts to novice users in an easy and attractive way. We conducted an experiment to measure the effectiveness of Alice by using it to teach programming concepts to first-level students in the Faculty of Computers and Information, Cairo University in the academic year 2008-2009. this was done before introducing them to a high-level language. We then conducted a survey to measure the level of acceptance and benefit attained by the target students. the most important result of our study is that learning with Alice was a beneficial experience to students who have first-time exposure to computer programming. However, Alice was boring to students who have previous programming background. To the best of our knowledge, this study is the first of its kind in Egypt as Alice was not taught before here, and we hope that our study helps the adoption decisions of Alice or similar tools in other schools and universities.
In the new competitive environment of the electricity market, risk analysis is a powerful tool to guide investors under both contract uncertainties and energy prices of the spot market. Moreover, simulation of spot pr...
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this paper provides insights into the impact of weight factors in multi-objective geometric programming (MOGP) optimization. Optimization of the weight factors is also considered. Generally, solving the multi-objectiv...
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ISBN:
(纸本)9789746724913
this paper provides insights into the impact of weight factors in multi-objective geometric programming (MOGP) optimization. Optimization of the weight factors is also considered. Generally, solving the multi-objective problem via geometric programming requires multiple objectives be combined into a scalar objective by weighing the individual objectives with arbitrary, fixed weight factors. On the contrary, this paper considers weight factors as optimization variables as well. As a result, the achieved solution becomes closer to the ideal multi-objective optimum than the fixed-weight MOGP.
Numberjack is a modelling package written in Python for embedding constraint programming and combinatorial optimisation into larger applications. It has been designed to seamlessly and efficiently support a number of ...
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ISBN:
(纸本)9783642135194
Numberjack is a modelling package written in Python for embedding constraint programming and combinatorial optimisation into larger applications. It has been designed to seamlessly and efficiently support a number of underlying combinatorial solvers. this paper illustrates many of the features of Numberjack through the use of several combinatorial optimisation problems.
To schedule emergency goods scientifically and effectively so as to meet the demand of emergency goods within limited time under uncertain circumstance, grey theory is introduced to establish a multi-objective grey pr...
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We present a closed dependent type theory whose inductive types are given not by a scheme for generative declarations, but by encoding in a universe. Each inductive datatype arises by interpreting its description-a fi...
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ISBN:
(纸本)9781605587943
We present a closed dependent type theory whose inductive types are given not by a scheme for generative declarations, but by encoding in a universe. Each inductive datatype arises by interpreting its description-a first-class value in a datatype of descriptions. Moreover, the latter itself has a description. Datatype-generic programmingthus becomes ordinary programming. We show some of the resulting generic operations and deploy them in particular, useful ways on the datatype of datatype descriptions itself. Simulations in existing systems suggest that this apparently self-supporting setup is achievable without paradox or infinite regress.
the multi-objective integer programming problems in large scale are considered time consuming. In the past, mathematical structures were used that can get benefits of high processing powers and parallel processing. th...
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ISBN:
(纸本)9789774033964
the multi-objective integer programming problems in large scale are considered time consuming. In the past, mathematical structures were used that can get benefits of high processing powers and parallel processing. the Branch and Bound (B&B) algorithm is one of the most used methods to solve combinatorial optimization problems. A general approach to generate all non-dominated solutions of the multi-objective integer programming (MOIP) Problem is developed. In this paper, a supervisor-master-sub-master-worker algorithm to solve large scale integer multi-objective problems that can get the benefits of mathematical structures and high processing powers has been proposed. this approach addresses several issues related to the characteristics of the algorithm itself and the properties of parallel computing systems. From the solved benchmark example this algorithm proved to provide a considerable high performance. Results show that a consistently better efficiency can be achieved in solving integer equations, providing reduction of time.
In the standard Constraint programming (CP) framework, an integer variable represents a signed integer and its domain is bounded by some minimal and maximal integer type values. In existing CP tools, the integer type ...
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ISBN:
(纸本)9783642135194
In the standard Constraint programming (CP) framework, an integer variable represents a signed integer and its domain is bounded by some minimal and maximal integer type values. In existing CP tools, the integer type is used to represent domain values, and hence domain bounds are inherently limited by the minimal and maximal signed integer values representable on a given platform. However, this implementation of integer variable fails to satisfy use cases where modeled integers can be arbitrarily large. An example of such CP application is the functional test generation where integer variables are used to model large architectural fields like memory addresses or operand data. In addition, in such applications, the set of standard arithmetic operations on an integer variable provided by the traditional CP framework does not represent the whole range of operations required for modeling. In this paper, we define a new type of integer variables with arbitrarily large domain size and a modified operation set. We show how this variable type can be realized on top of a traditional CP framework by means of global constraints over standard integer variables. the ideas presented in this paper can also be used to implement a native variable of the introduced type in a CP tool. the paper provides experimental results to demonstrate the effectiveness of the proposed approach.
the proceedings contain 58 papers. the topics discussed include: analog multiplier for feed forward neural network signal processing;speech document retrieval based on dual roles of text classification;multiple object...
ISBN:
(纸本)9780889868236
the proceedings contain 58 papers. the topics discussed include: analog multiplier for feed forward neural network signal processing;speech document retrieval based on dual roles of text classification;multiple objects segmentation from multi-view sequence;segmentation based BTC image coding for full HD display driver;pair-wise separable quadratic programming for constrained time-varying regression estimation;speech extraction from jammed signals in dual-microphone systems;road sign recognition with color and edge based features;an efficient feature extraction technique based on the histogram of block DCT coefficients;variable structure neural network for adaptive color clustering;key sample point selection: an improvement of shape context algorithm in image retrieval;fast image blurring using lookup table for scale space construction;and improving the readability of class lecture automatic speech recognition results using multiple hypotheses.
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