Searched for: subject:"evolutionary%5C+algorithm"
(1 - 17 of 17)
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Jan, Sadeeq (author), Panichella, A. (author), Arcuri, Andrea (author), Briand, Lionel (author)
Modern web applications often interact with internal web services, which are not directly accessible to users. However, malicious user inputs can be used to exploit security vulnerabilities in web services through the application front-ends. Therefore, testing techniques have been proposed to reveal security flaws in the interactions with...
journal article 2019
document
Luong, N.H. (author)
In our modern daily life, many activities require electricity, for example, the usage of domestic appliances, manufacturing, communication, and transportation. It is therefore essential to maintain a reliable supply of electricity to ensure the operation of such activities. The electricity supply, in a large part, depends on the underlying...
doctoral thesis 2018
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Ho Huu, V. (author), Hartjes, S. (author), Visser, H.G. (author), Curran, R. (author)
The multi-objective evolutionary algorithm based on decomposition (MOEA/D) has been recognized as a promising method for solving multi-objective optimization problems (MOPs), receiving a lot of attention from researchers in recent years. However, its performance in handling MOPs with complicated Pareto fronts (PFs) is still limited,...
journal article 2018
document
Bittermann, M.S. (author), Ciftcioglu, O. (author)
Demonstrative results of a probabilistic constraint handling approach that is exclusively using evolutionary computation are presented. In contrast to other works involving the same probabilistic considerations, in this study local search has been omitted, in order to assess the necessity of this deterministic local search procedure in...
conference paper 2016
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Ciftcioglu, O. (author), Bittermann, M.S. (author), Datta, R (author)
A robust probabilistic constraint handling approach in the framework of joint evolutionary-classical optimization has been presented earlier. In this work, the
theoretical foundations of the method are presented in detail. The method is known as bi-objective method, where the conventional penalty function approach is implemented. The present...
conference paper 2016
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Kovryga, Andriy (author), Stapel, Peter (author), van de Kuilen, J.W.G. (author)
For the production of lamellas for GLT or CLT visually or machine strength graded timber is required. Visual grading allows only for a limited number of classes while reject rates tend to be high. The present paper shows the potential of an evolutionary algorithm NSGA-II optimizing the boundaries of multiple visual grading criteria in a...
conference paper 2016
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Janssen, P. (author)
Designers interested in applying evo-devo-design methods for performance based multi-objective design exploration have typically faced two main hurdles: it’s too hard and too slow. An evo-devo-design method is proposed that effectively overcomes the hurdles of skill and speed by leveraging two key technologies: computational workflows and cloud...
conference paper 2013
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Strobbe, T. (author), De Meyer, R. (author), Van Campenhout, J. (author)
Due to a growing number of regulations and standards, building performance becomes equally important as traditional design drivers. Therefore, it is necessary to quickly explore design alternatives that meet these performance requirements. To support this complex design task, a rule-based design system is proposed that is founded on a shape...
conference paper 2013
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Schneider, S. (author), Donath, D. (author)
The conception of a Generative Model (GM) is an important step when applying optimization methods in architectural design. The variant spectrum generable with a GM determines if an optimal solution for the different demands placed on a design can be found. Using the example of optimizing façades (more specifically window-layouts), it is shown...
conference paper 2013
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Parascho, S. (author), Baur, M. (author), Knippers, J. (author), Menges, A. (author)
The performance of an architectural object is highly difficult to both define and measure in its complexity since it is integrating a constantly increasing amount of information, from concrete measurable characteristics to the subjective perception of individual users. The question arising though is how to predict the performance of a building...
conference paper 2013
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Davoodi Monfrared, M. (author), Mohades, A. (author), Rezaei, J. (author)
Due to many applications of multi-objective evolutionary algorithms in real world optimization problems, several studies have been done to improve these algorithms in recent years. Since most multi-objective evolutionary algorithms are based on the non-dominated principle, and their complexity depends on finding non-dominated fronts, this paper...
journal article 2012
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Bandaru, S. (author), Bittermann, M.S. (author), Deb, K. (author)
Decision-making tasks sometimes involve soft objectives. They are soft in the sense that they contain uncertainty, imprecision or vagueness. For example, decisions on built environment aim to maximize comfort or other experiential qualities. Pareto-optimal solutions to such problems can be found using multi-objective evolutionary search together...
report 2011
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De Croon, G.C.H.E. (author), Postma, E.O. (author), Van den Herik, H.J. (author)
We propose a novel gaze-control model for detecting objects in images. The model, named act-detect, uses the information from local image samples in order to shift its gaze towards object locations. The model constitutes two main contributions. The first contribution is that the model’s setup makes it computationally highly efficient in...
journal article 2011
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De Vos, N.J. (author)
The transformation from precipitation over a river basin to river streamflow is the result of many interacting processes which manifest themselves at various scales of time and space. The resulting complexity of hydrological systems, and the difficulty to properly and quantitatively express the information that is available about them, determine...
doctoral thesis 2009
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Bittermann, M.S. (author)
Design is complex. This is because it involves conflicting goals that are often vague. Also, prior to the design it is generally not clear how important goals are relative to each other. And finally the amount of possible solutions is large in general. These bottlenecks are addressed in this thesis. A novel approach for design is proposed, where...
doctoral thesis 2009
document
Sariyildiz, I.S. (author), Bittermann, M.S. (author), Ciftcioglu, O. (author)
Multi-objective-optimization-based positioning of houses in a residential neighborhood is described. The task is the placement of the buildings in a favorable configuration constrained by two objectives, which are garden performance and visual privacy performance requirements. The method used is evolutionary computation with the Pareto front...
conference paper 2008
document
Van Bilsen, A. (author)
doctoral thesis 2008
Searched for: subject:"evolutionary%5C+algorithm"
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