Searched for: subject:"multi%5C-objective%5C+optimization"
(1 - 20 of 50)

Pages

document
Xiong, W. (author), van Gelder, P.H.A.J.M. (author), Yang, Kewei (author)
Design and operationalization for Search and Rescue (SAR) activities are unstructured and complex multi-criteria decision-making problems, especially for maritime emergency scenario. There is a lack of decision support methods based on intelligent algorithms to shorten the response time and to reduce the loss of life and property. The primary...
journal article 2020
document
Farrokhzadeh, S. (author), Hashemi Monfared, Seyed Arman (author), Azizyan, Gholamreza (author), Sardar Shahraki, Ali (author), Ertsen, M.W. (author), Abraham, E. (author)
Severe water scarcity in recent years has magnified the economic, social, and environmental significance of water stress globally, making optimal planning in water resources necessary for sustainable socio-economic development. One of the regions that is most affected by this is the Sistan region and its Hamoun wetland, located in south-east...
journal article 2020
document
Dehghanipour, A. (author), Schoups, G.H.W. (author), Zahabiyoun, Bagher (author), Babazadeh, Hossein (author)
Competition for water between agriculture and the environment is a growing problem in irrigated regions across the globe, especially in endorheic basins with downstream freshwater lakes impacted by upstream irrigation withdrawals. This study presents and applies a novel simulation-optimization (SO) approach for identifying water management...
journal article 2020
document
Wang, N. (author), Heijnen, P.W. (author), Imhof, Pieter (author)
Renewable energy investment is a complex process where multiple actors are often involved with their own, sometimes conflicting, interests. Here we propose a multi-actor multi-objective regional energy system planning approach to help actors gain mutual understanding regarding each other’s optimal investment wishes, in order to advance the...
journal article 2020
document
Yang, D. (author), Di Stefano, Danilo (author), Turrin, M. (author), Sariyildiz, I.S. (author), Sun, Yimin (author)
Simulation-Based Multi-Objective Optimization (SBMOO) methods are being increasingly used in conceptual architectural design. They mostly focus on the solving, rather than the re-formulation, of a Multi-Objective Optimization (MOO) problem. However, Optimization Problem Re-Formulation (Re-OPF) is necessary for treating ill-defined conceptual...
journal article 2020
document
Zhao, X. (author), Bai, Shunwen (author), Tu, Yinan (author), Zhang, X. (author), Spanjers, H. (author)
Life cycle assessment (LCA) has proven to be a useful tool in assessing environmental technologies in a retrospective manner. To fully uncover the environmental improvement potential while advancing technologies under technical and environmental constraints, this study recommended approaching the LCA proactively to assess the progress of...
journal article 2020
document
Madadi, B. (author), Aksakalli, Vural (author)
Globalization and subsequent increase in seaborne trade have necessitated efficient planning and management of world's anchorage areas. These areas serve as a temporary stay area for commercial vessels for various reasons such as waiting for passage or port, fuel services, and bad weather conditions. The research question we consider in this...
journal article 2020
document
Kubalik, Jiai (author), Derner, Erik (author), Babuska, R. (author)
In symbolic regression, the search for analytic models is typically driven purely by the prediction error observed on the training data samples. However, when the data samples do not sufficiently cover the input space, the prediction error does not provide sufficient guidance toward desired models. Standard symbolic regression techniques then...
conference paper 2020
document
Magalhaes de Medeiros, E. (author), Noorman, H.J. (author), Maciel Filho, Rubens (author), Posada Duque, J.A. (author)
In this work, a model was developed to predict the performance of a bubble column reactor for syngas fermentation and the subsequent recovery of anhydrous ethanol. The model was embedded in an optimization framework which employs surrogate models (artificial neural networks) and multi-objective genetic algorithm to optimize different process...
journal article 2020
document
Vo-Duy, T. (author), Duong-Gia, D. (author), Ho-Huu, V. (author), Nguyen-Thoi, T. (author)
This paper proposes an effective couple method for solving reliability-based multi-objective optimization problems of truss structures with static and dynamic constraints. The proposed coupling method integrates a single-loop deterministic method (SLDM) into the nondominated sorting genetic algorithm II (NSGA-II) algorithm to give the so...
journal article 2019
document
Eslami Baladeh, Aliakbar (author), Cheraghi, Morteza (author), Khakzad, N. (author)
Optimal selection of safety measures (SMs) is a challenging task for safety managers due to its importance, complexity, and incapability of traditional approaches in considering all the aspects of SMs optimal selection. Sophisticated mathematical models can be used to overcome the limitations of traditional approaches. However, setting the...
journal article 2019
document
Marquez Calvo, O.O. (author), Solomatine, D.P. (author)
This paper considers the problem of robust optimization, and presents the technique called Robust Optimization and Probabilistic Analysis of Robustness (ROPAR). It has been developed for finding robust optimum solutions of a particular class in model-based multi-objective optimization (MOO) problems (i.e. when the objective function is not known...
journal article 2019
document
Ho-Huu, V. (author), Ganić, Emir (author), Hartjes, S. (author), Babić, Obrad (author), Curran, R. (author)
The paper first investigates the influence of daily mobility of population on evaluation of aircraft noise effects. Then, a new air traffic assignment model that considers this activity is proposed. The main objective is to reduce the number of people affected by noise via lowering as much as possible the noise exposure level L <sub>den</sub...
journal article 2019
document
Narayan, N.S. (author), Chamseddine, Ali (author), Vega-Garita, Victor (author), Qin, Z. (author), Popovic-Gerber, Jelena (author), Bauer, P. (author), Zeman, M. (author)
With almost 1.1 billion people lacking access to electricity, solar-based off-grid products like Solar Home Systems (SHS) have become a promising solution to provide basic electricity needs in un(der)-electrified regions. Therefore, optimal system sizing is a vital task as both oversizing and undersizing a system can be detrimental to system...
journal article 2019
document
Baharmand, Hossein (author), Comes, M. (author), Lauras, Matthieu (author)
Locating distribution centers is critical for humanitarians in the immediate aftermath of a sudden-onset disaster. A major challenge lies in balancing the complexity and uncertainty of the problem with time and resource constraints. To address this problem, we propose a location–allocation model that divides the topography of affected areas...
journal article 2019
document
Santis, Patricio (author), Sáez, Doris (author), Cárdenas, Roberto (author), Nunez, Alfredo (author)
Modulated model predictive control (M <sup>2</sup> PC) allows fixed switching frequency operation of power converters, producing lower ripple and lower total harmonic distortion (THD) in the output signals than those obtained using regular model predictive control (MPC) algorithms. However, the design of the M <sup>2</sup> PC algorithm and...
journal article 2019
document
Kirimtat, Ayca (author), Ekici, B. (author), Çubukçuoglu, C. (author), Sariyildiz, I.S. (author), Tasgetiren, Mehmet Fatih (author)
Floating neighborhoods are innovative and promising urban areas for challenges in the development of cities and settlements. However, this design task requires a lot of considerations and technical challenges. Computational tools and methods can be beneficial to tackle the complexity of floating neighborhood design. This paper considers the...
book chapter 2019
document
Yan, F. (author), Bešinović, Nikola (author), Goverde, R.M.P. (author)
This paper proposes a new multi-objective periodic railway timetabling (MOPRT) problem with four objectives to be minimized: train journey time, timetable regularity deviation, timetable vulnerability and the number of overtakings. The aim is to find an efficient, regular and robust timetable that utilizes the infrastructure capacity as good as...
journal article 2019
document
Pan, W. (author), Turrin, M. (author), Louter, P.C. (author), Sariyildiz, I.S. (author), Sun, Yimin (author)
Indoor multi-functional sports arenas are a complex building type. Integration of the (multi-) functional space and of the large-span structure of the roof mainly determines the overall geometry of the building, and is one of the most challenging phases of the design. Several interdisciplinary numeric assessments and numerous solutions with...
journal article 2019
document
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
Searched for: subject:"multi%5C-objective%5C+optimization"
(1 - 20 of 50)

Pages