A New Visualization Tool in Many-Objective Optimization Problems

Koochaksaraei, Roozbeh Haghnazar; Enayatifar, Rasul; Guimarães, Frederico Gadelha

doi:10.1007/978-3-319-32034-2_18

Cited by 5 publications

(7 citation statements)

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“…In this sense, we pinpoint the open opportunities for innovative applications that should carefully consider the users' profiles, wishes and desired goals. Furthermore, due to the current advances of many-objective visualization tools [33,34], we expect that data visualization on complex problems will start to turn into common tools used by the industry and decision makers.…”

Section: Smart Routing Problems: Multi-objective Optimizationmentioning

confidence: 99%

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

et al. 2020

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Cities are constantly transforming and, consequently, attracting efforts from researchers and opportunities to the industry. New transportation systems are being built in order to meet sustainability and efficiency criteria, as well as being adapted to the current possibilities. Moreover, citizens are becoming aware about the power and possibilities provided by the current generation of autonomous devices. In this sense, this paper presents and discusses state-of-the-art transportation technologies and systems, highlighting the advances that the concepts of Internet of Things and Value are providing. Decentralized technologies, such as blockchain, are been extensively investigated by the industry, however, its widespread adoption in cities is still desirable. Aligned with operations research opportunities, this paper identifies different points in which cities’ services could move to. This also study comments about different combinatorial optimization problems that might be useful and important for an efficient evolution of our cities. By considering different perspectives, didactic examples are presented with a main focus on motivating decision makers to balance citizens, investors and industry goals and wishes.

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Section: Smart Routing Problems: Multi-objective Optimizationmentioning

confidence: 99%

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

et al. 2020

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“…On the other hand, the overview part enables users to compare diverse entities together generally by just assessing the highlighted items. In addition, by examining the several visualization tools that are dealing with this amount of data, you can figure out that all of them contain the readability issue in the overview section [16,51], etc. Therefore, this tool provides an independent space in order to present the details plainly.…”

Section: Visualiza(on Mcdmmentioning

confidence: 99%

“…In the past decades, the complexity and dependency of the entities have been increased dramatically in the produced data sets throughout of science and industry. Therefore, the demand of meaningful, readable, reliable illustration and analyzing has been increasing simultaneously [13][14][15][16][17]. In the other word, this platform is capable of providing this kind of analyzing in Robotic, Society, Archiving, Publication, Economic fields, and area [18,19].…”

Section: Introductionmentioning

confidence: 99%

Visualization Method for Decision-Making: A Case Study in Bibliometric Analysis

et al. 2021

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Data and information visualization have drawn an increasingly wide range of interest from several academic fields and industries. Concurrently, exploring a huge set of data to support feasible decisions needs an organized method of Multi-Criteria Decision Making (MCDM). The dramatic increasing of data producing during the past decade makes visualization necessary as a presentation layer on the top of MCDM process. This study aims to propose an integrated strategy to rank the alternatives in the dataset, by combining data, MCDM methods, and visualization layers. In fact, the well designed combination of Information Visualization and MCDM provides a more user-friendly approach than the traditional methods. We investigate a case study in bibliometric analyses, which have become an important dimension and tool for evaluating the impact and performance of researchers, departments, and universities. Hence, finding the best and most reliable papers, authors, and publishers considering diverse criteria is one of the important challenges in science world. Therefore, this text is presenting a new strategy on the bibliometric dataset as a case study and it demonstrates that this strategy can be more meaningful for the end users than the current tools. Finally, the presented simulations illustrate the performance and utilization of this combination. In other words, the researchers of this study could design and implement a tool that overcomes the biggest challenges of data analyzing and ranking via a combination of MCDM and visualization methodologies that can provide a tremendous amount of insight and information from a massive dataset in an efficient way.

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“…The proposed visualization tool brings together in a single figure three visualization methods: the Parallel Coordinates [11], the Chord Diagram [17] and the Angular Mapping [18]. Using a circular design layout provided by the Circlize package [27] for R language, this method enables the spatial location of points in high dimensional spaces, the visualization of harmony/conflict among objectives, as well as the comparison of approximation sets provided by different algorithms.…”

Section: Grouped Visualization In Circular Layout a Overviewmentioning

confidence: 99%

“…The method allows the visualization of a hierarchy for aggregation of the objectives, with possibility to create new constraints for the problem or reduce the number of objectives in a further analysis [16]. Later, in our previous work, we produced a form of interactive circular visualization for inspecting the relationship among objectives in a chord diagram [17], in order to assist understanding of the problem by the decision-maker. In an extension of this work, we developed a new visualization tool that follows the circular design layout, mapping the solutions from high-dimensional objective space into a 2D form of scattering that is based on norm and angle information [18].…”

Section: Introductionmentioning

confidence: 99%

Information to the Eye of the Beholder: Data Visualization for Many-Objective Optimization

Meneghini

Koochaksaraei

Guimarães

et al. 2018

2018 IEEE Congress on Evolutionary Computation (CEC)

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A New Visualization Tool in Many-Objective Optimization Problems

Cited by 5 publications

References 0 publications

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

Visualization Method for Decision-Making: A Case Study in Bibliometric Analysis

Information to the Eye of the Beholder: Data Visualization for Many-Objective Optimization

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