Mathematics (ISSN 2227-7390) is a peer-reviewed open access journal which provides an advanced forum for studies related to mathematics, and is published monthly online by MDPI.
Special Issue “Optimization for Decision Making”
Deadline for manuscript submissions: 31 May 2019
Special Issue Editors
Prof. Víctor Yepes
Universitat Politècnica de València, Spain
multiobjective optimization; structures optimization; lifecycle assessment; social sustainability of infrastructures; reliability-based maintenance optimization; optimization and decision-making under uncertainty
Prof. José M. Moreno-Jiménez
Universidad de Zaragoza
multicriteria decision making; environmental selection; strategic planning; knowledge management; evaluation of systems; logistics and public decision making (e-government, e-participation, e-democracy and e-cognocracy)
Special Issue Information
In the current context of the electronic governance of society, both administrations and citizens are demanding greater participation of all the actors involved in the decision-making process relative to the governance of society. In addition, the design, planning, and operations management rely on mathematical models, the complexity of which depends on the detail of models and complexity/characteristics of the problem they represent. Unfortunately, decision-making by humans is often suboptimal in ways that can be reliably predicted. Furthermore, the process industry seeks not only to minimize cost, but also to minimize adverse environmental and social impacts. On the other hand, in order to give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks or improve quality in making concomitant decisions. In addition, a sensitivity analysis should be done to validate/analyze the influence of uncertainty regarding decision-making.
Prof. Víctor Yepes
Prof. José M. Moreno-Jiménez
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access monthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript.
- Multicriteria decision making
- Optimization techniques
- Multiobjective optimization
Nos acaban de publicar en la revista de Elsevier del primer decil, Journal of Cleaner Production, un artículo donde se propone una nueva metodología en la toma de decisiones del diseño óptimo de un puente bajo criterios de sostenibilidad y bajo incertidumbre. Este artículo forma parte de nuestra línea de investigación BRIDLIFE en la que se pretenden optimizar estructuras atendiendo no sólo a su coste, sino al impacto ambiental y social que generan a lo largo de su ciclo de vida.
El artículo lo podéis descargar GRATUITAMENTE hasta el 16 de octubre de 2018 en el siguiente enlace:
Today, bridge design seeks not only to minimize cost, but also to minimize adverse environmental and social impacts. This multi-criteria decision-making problem is subject to variability of the opinions of stakeholders regarding the importance of criteria for sustainability. As a result, this paper proposes a method for designing and selecting optimally sustainable bridges under the uncertainty of criteria comparison. A Pareto set of solutions is obtained using a metamodel-assisted multi-objective optimization. A new decision-making technique introduces the uncertainty of the decision-maker’s preference through triangular distributions and thereby ranks the sustainable bridge designs. The method is illustrated by a case study of a three-span post-tensioned concrete box-girder bridge designed according to the embodied energy, overall safety and corrosion initiation time. In this particular case, 211 efficient solutions are reduced to two preferred solutions which have a probability of being selected of 81.6% and 18.4%. In addition, a sensitivity analysis validates the influence of the uncertainty regarding the decisionmaking. The approach proposed allows actors involved in the bridge design and decision-making to determine the best sustainable design by finding the probability of a given design being chosen.
- Sustainable criteria
- Multi-objective optimization
- Energy efficiency
GARCÍA-SEGURA, T.; PENADÉS-PLÀ, V.; YEPES, V. (2018). Sustainable bridge design by metamodel-assisted multi-objective optimization and decision-making under uncertainty. Journal of Cleaner Production, 202:904-915. https://doi.org/10.1016/j.jclepro.2018.08.177
Nos acaban de publicar en línea en la revista Structural and Multidisciplinary Optimization (revista indexada en JCR en el primer cuartil) un trabajo de investigación en el que utilizamos las redes neuronales artificiales junto para el diseño multiobjetivo de puentes postesados de carreteras. Os paso a continuación el resumen y el enlace al artículo por si os resulta de interés. El enlace del artículo es el siguiente: http://link.springer.com/article/10.1007%2Fs00158-017-1653-0
García-Segura, T.; Yepes, V.; Frangopol, D.M. (2017). Multi-objective design of post-tensioned concrete road bridges using artificial neural networks. Structural and Multidisciplinary Optimization, doi:10.1007/s00158-017-1653-0
In order to minimize the total expected cost, bridges have to be designed for safety and durability. This paper considers the cost, the safety, and the corrosion initiation time to design post-tensioned concrete box-girder road bridges. The deck is modeled by finite elements based on problem variables such as the cross-section geometry, the concrete grade, and the reinforcing and post-tensioning steel. An integrated multi-objective harmony search with artificial neural networks (ANNs) is proposed to reduce the high computing time required for the finite-element analysis and the increment in conflicting objectives. ANNs are trained through the results of previous bridge performance evaluations. Then, ANNs are used to evaluate the constraints and provide a direction towards the Pareto front. Finally, exact methods actualize and improve the Pareto set. The results show that the harmony search parameters should be progressively changed in a diversification-intensification strategy. This methodology provides trade-off solutions that are the cheapest ones for the safety and durability levels considered. Therefore, it is possible to choose an alternative that can be easily adjusted to each need.
Multi-objective harmony search; Artificial neural networks; Post-tensioned concrete bridges; Durability; Safety.
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Abstract: This paper presents a multiobjective optimization of post-tensioned concrete road bridges in terms of cost, CO2 emissions, and overall safety factor. A computer tool links the optimization modulus with a set of modules for the finite-element analysis and limit states verification. This is applied for the case study of a three-span continuous post-tensioned box-girder road bridge, located in a coastal region. A multiobjective harmony search is used to automatically search a set of optimum structural solutions regarding the geometry, concrete strength, reinforcing and post-tensioned steel. Diversification strategies are combined with intensification strategies to improve solution quality. Results indicate that cost and CO2 emissions are close to each other for any safety range. A one-euro reduction, involves a 2.34 kg CO2 emissions reduction. Output identifies the best variables to improve safety and the critical limit states. This tool also provides bridge managers with a set of trade-off optimum solutions, which balance their preferences most closely, and meet the requirements previously defined.
- Multiobjective optimization;
- CO2 emissions;
- Post-tensioned concrete;
- Box-girder bridge;
- Multiobjective harmony search
- A multiobjective optimization of post-tensioned concrete road bridges is presented.
- A computer tool combines finite-element analysis and limit states verification.
- Output provides a trade-off between cost, CO2 emissions, and overall safety factor.
- Near the optima, a one-euro reduction represents a 2.34 kg CO2 emissions reduction.
- Results show the cheapest and most eco-friendly variables for improving safety.
GARCÍA-SEGURA, T.; YEPES, V. (2016). Multiobjective optimization of post-tensioned concrete box-girder road bridges considering cost, CO2 emissions, and safety. Engineering Structures, 125:325-336. DOI: 10.1016/j.engstruct.2016.07.012.