Searched for: subject%3A%22optimization%22
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Wilde, N. (author), Smith, Stephen L. (author), Alonso-Mora, J. (author)
When designing a motion planner for autonomous robots there are usually multiple objectives to be considered. However, a cost function that yields the desired trade-off between objectives is not easily obtainable. A common technique across many applications is to use a weighted sum of relevant objective functions and then carefully adapt the...
journal article 2024
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Lin, Weibin (author), Sun, Yimin (author), Nijhuis, S. (author)
Floods are common and inevitable natural disasters. Achieve Sustainable Development Goal (SDG) 11.5 is a critical challenge for coastal cities, especially those in deltaic lowlands such as in the case of Guangzhou, China. Regarding the spatial planning and design of such urban regions, it is crucial to study the impacts of flooding in compact or...
journal article 2024
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Arnold, Wyatt (author), Zatarain Salazar, J. (author), Carlino, Angelo (author), Giuliani, Matteo (author), Castelletti, Andrea (author)
A resurgence of dam planning and construction is under way in river basins where untapped hydropower potential could meet growing energy demands. Despite calls for more comprehensive evaluation of dam projects, most dams continue to be planned with traditional methods that neglect interdependencies between planning and management and cumulative...
journal article 2023
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Sitzenfrei, Robert (author), Qiu, Mengning (author), Ostfeld, Avi (author), Savic, Dragan (author), Kapelan, Z. (author)
Water distribution networks (WDNs) are a vital component of urban water infrastructure. They transport water from production sites (sources) to spatially distributed consumers (sinks). Multiobjective optimization procedures are often used to minimize construction costs and at the same time maximize the resilience of such systems, which is...
conference paper 2023
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Wang, N. (author)
The pledge for a carbon-free energy system in 2050 requires significant investments into renewable energy sources (RES). The relevant questions are: what technologies to select, where to build them, how much the capacities are, and at what cost. In order to answer these techno-economic questions, optimization models are commonly used to sketch a...
doctoral thesis 2022
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Shi, W. (author), Dong, J. (author), Soeiro, Thiago B. (author), Riekerk, C. (author), Grazian, F. (author), Yu, G. (author), Bauer, P. (author)
Due to the urgent desire for a fast, convenient, and efficient battery charging technology for electric vehicle (EV) users, extensive research has been conducted into the design of high-power inductive power transfer (IPT) systems. However, there are few studies that formulate the design as a multiobjective optimization (MOO) research...
journal article 2022
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Zhilyaev, D. (author), Binnekamp, R. (author), Wolfert, A.R.M. (author)
Within traditional design processes, decisions are often made based on individualistic values and late-stage assessments conducted on a predefined set of design alternatives potentially leading to suboptimal design decisions and conflicts. The issues are further amplified by the growing complexity of construction project management where an...
journal article 2022
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Liu, D. (author), Virgolin, Marco (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
Genetic programming (GP) is one of the best approaches today to discover symbolic regression models. To find models that trade off accuracy and complexity, the non-dominated sorting genetic algorithm II (NSGA-II) is widely used. Unfortunately, it has been shown that NSGA-II can be inefficient: in early generations, low-complexity models over...
conference paper 2022
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Peschl, M. (author)
We propose a deep reinforcement learning algorithm that employs an adversarial training strategy for adhering to implicit human norms alongside optimizing for a narrow goal objective. Previous methods which incorporate human values into reinforcement learning algorithms either scale poorly or assume hand-crafted state features. Our algorithm...
conference paper 2021
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Shi, W. (author), Grazian, F. (author), Bandyopadhyay, S. (author), Dong, J. (author), Soeiro, Thiago B. (author), Bauer, P. (author)
This paper aims to investigate the dynamic charging performance of an 11 kW dynamic inductive power transfer (DIPT) system. First, a multi-objective optimization (MOO) method is proposed to find the Pareto front of the DD charging pad. Then, the optimal design with a 96.82% efficiency is selected as the target design for the DIPT system....
conference paper 2021
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Struzziero, G. (author), Skordos, A. A. (author)
The present paper addresses the multi-objective optimization of the filling stage of the Resin Infusion manufacturing process. The optimization focuses on the selection of an optimal temperature profile which addresses the tradeoff between filling time and the risk of impeding the flow of resin due to excessive curing. The methodology developed...
journal article 2019
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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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Yang, D. (author), Sun, Y (author), Di Stefano, D. (author), Turrin, M. (author), Sariyildiz, I.S. (author)
Surrogate-based Optimization is a useful approach when the objective function is computationally expensive to evaluate, compared to Simulation-based Optimization. In the surrogate-based method, analytically tractable “surrogate models” (also known as “Response Surface Models — RSMs” or “metamodels”), are constructed and validated for each...
conference paper 2016
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Fragoso Rodrigues, S.M. (author), Restrepo, C. (author), Katsouris, G. (author), Teixeira Pinto, R. (author), Soleimanzadeh, M. (author), Bosman, P. (author), Bauer, P. (author)
Current offshore wind farms (OWFs) design processes are based on a sequential approach which does not guarantee system optimality because it oversimplifies the problem by discarding important interdependencies between design aspects. This article presents a framework to integrate, automate and optimize the design of OWF layouts and the...
journal article 2016
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Vlaun, N.J.V. (author), van Waart, A. (author), Tenpierik, M.J. (author), Turrin, M. (author)
Optimizing the acoustic environment of open plan offices is a complex task due to the large number of design parameters that must be considered. In current practice, acoustic analysis – even in a simplified form – is not naturally integrated into the design process of office spaces. Applying digital acoustic simulation in architectural design...
conference paper 2016
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Yang, D. (author), Sileryte, R. (author), D'Aquilio, A. (author), Turrin, M. (author)
Building performance simulations are usually timeconsuming. They may account for the major portion of time spent in Computational Design Optimization (CDO), for instance, annual hourly daylight and energy simulations. In this case, the optimization may become less efficient or even infeasible within a limited time frame of real-world projects,...
conference paper 2016
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Piegay, N. (author), Breysse, D. (author)
This paper aims to present an evaluation, optimization and comparison approach for the design of isolated spread foundations in an uncertain environment. The choice of the optimal solution is made according to the decision-maker's preferences to find the best compromise between various conflicting objectives. Furthermore, this approach takes...
conference paper 2015
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Yang, D. (author), Sun, Y. (author), Turrin, M. (author), von Buelow, P. (author), Paul, J.C. (author)
Currently, in the conceptual envelope design of sports facilities, multiple engineering performance feedbacks (e.g. daylight, energy and structural performance) are expected to assist architectural design decision-making. In general, it is known as Building Performance Optimization in the conceptual architectural design phase. Essentially, it...
conference paper 2015
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Fonseca, R.M. (author), Leeuwenburgh, O. (author), Van den Hof, P.M.J. (author), Jansen, J.D. (author)
In an earlier study two hierarchical multi-objective methods were suggested to include short-term targets in life-cycle production optimization. However this earlier study has two limitations: 1) the adjoint formulation is used to obtain gradient information, requiring simulator source code access and an extensive implementation effort, and 2)...
journal article 2014
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Hamarat, C. (author), Pruyt, E. (author), Loonen, E.T. (author)
Adaptivity is essential for dynamically complex and uncertain systems. Adaptive policymaking is an approach to design policies that can be adapted over time to how the future unfolds. It is crucial for adaptive policymaking to specify under what conditions and how to adapt the policy. The performance of adaptive policy is critically depended on...
conference paper 2013
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