Special Issue "Sustainability with Optimization Techniques"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 31 August 2020.

Special Issue Editor

Prof. Zong Woo Geem
E-Mail Website
Guest Editor
Department of Energy IT, Gachon University
Interests: energy; optimization; renewable energy technologies; algorithms; heuristics scheduling; artificial neural networks; network architecture; mathematical programming; simulation
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

One of major pillars in sustainability is economic dimension. In that dimension, economic development is pursued in a manner that preserves the environment and resources for our next generations. Also, that sustainable economic development requires highest efficiency which can be achieved by using various mathematical or meta-heuristic optimization techniques.

This Special Issue intends to put together the newest studies in both theoretical and practical fields of optimization techniques for sustainable economic development including energy, water, food, and the environment issues.

Prof. Zong Woo Geem
Guest Editor

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. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Sustainable Design & Management
  • Carbon Emission
  • Renewable Energy
  • Virtual Water
  • Water-Energy-Food Nexus
  • Air Pollution and Social Cost
  • Life-Cycle Cost
  • Engineering Optimization
  • Operations Research
  • Swarm and Evolutionary Computation

Published Papers (8 papers)

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Research

Open AccessArticle
Optimal Project Planning for Public Rental Housing in South Korea
Sustainability 2020, 12(2), 600; https://doi.org/10.3390/su12020600 (registering DOI) - 14 Jan 2020
Abstract
Although Korea has made notable progress in the availability of public rental housing, Korea’s public rental housing representing 6.3% of the country’s total housing is still below the 8% OECD average from 2016. The Seoul Metropolitan Area (composed of Seoul City, Incheon City, [...] Read more.
Although Korea has made notable progress in the availability of public rental housing, Korea’s public rental housing representing 6.3% of the country’s total housing is still below the 8% OECD average from 2016. The Seoul Metropolitan Area (composed of Seoul City, Incheon City, and Gyeonggi Province) has nearly 50% of the country’s population, but 11% of the nation’s territory, meaning the area suffers from an acute shortage of public rental housing. This is a serious problem which is hampering the sustainability of Korean society in general. We will examine the possibility of improving this public housing problem using certain algorithms to optimize decision making and resource allocation. This study reviews two pioneering studies on optimal investment portfolio for land development projects and optimal project combination for urban regeneration projects, and then optimizes a public housing investment combination to maximize the amount of public rental houses in Gyeonggi province using optimization techniques. Through the optimal investment combination, public rental houses were found to be more efficiently and sustainably planned for the community. Full article
(This article belongs to the Special Issue Sustainability with Optimization Techniques)
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Open AccessArticle
GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam
Sustainability 2019, 11(24), 7118; https://doi.org/10.3390/su11247118 - 12 Dec 2019
Abstract
Landslides affect properties and the lives of a large number of people in many hilly parts of Vietnam and in the world. Damages caused by landslides can be reduced by understanding distribution, nature, mechanisms and causes of landslides with the help of model [...] Read more.
Landslides affect properties and the lives of a large number of people in many hilly parts of Vietnam and in the world. Damages caused by landslides can be reduced by understanding distribution, nature, mechanisms and causes of landslides with the help of model studies for better planning and risk management of the area. Development of landslide susceptibility maps is one of the main steps in landslide management. In this study, the main objective is to develop GIS based hybrid computational intelligence models to generate landslide susceptibility maps of the Da Lat province, which is one of the landslide prone regions of Vietnam. Novel hybrid models of alternating decision trees (ADT) with various ensemble methods, namely bagging, dagging, MultiBoostAB, and RealAdaBoost, were developed namely B-ADT, D-ADT, MBAB-ADT, RAB-ADT, respectively. Data of 72 past landslide events was used in conjunction with 11 landslide conditioning factors (curvature, distance from geological boundaries, elevation, land use, Normalized Difference Vegetation Index (NDVI), relief amplitude, stream density, slope, lithology, weathering crust and soil) in the development and validation of the models. Area under the receiver operating characteristic (ROC) curve (AUC), and several statistical measures were applied to validate these models. Results indicated that performance of all the models was good (AUC value greater than 0.8) but B-ADT model performed the best (AUC= 0.856). Landslide susceptibility maps generated using the proposed models would be helpful to decision makers in the risk management for land use planning and infrastructure development. Full article
(This article belongs to the Special Issue Sustainability with Optimization Techniques)
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Open AccessArticle
Proposal to Reuse Rubber Waste from End-Of-Life Tires Using Thermosetting Resin
Sustainability 2019, 11(24), 6997; https://doi.org/10.3390/su11246997 - 07 Dec 2019
Abstract
Due to the increasing production of motor vehicles, a large amount of waste with different characteristics and compositions is generated, notably end-of-life tires, which are harmful to the environment when not properly disposed. Their composition contains contaminating chemical elements, resulting in negative impacts [...] Read more.
Due to the increasing production of motor vehicles, a large amount of waste with different characteristics and compositions is generated, notably end-of-life tires, which are harmful to the environment when not properly disposed. Their composition contains contaminating chemical elements, resulting in negative impacts on the environment. This research aims to present a process that favors the recycling of rubber waste from end-of-life tires. For the construction of the state of the art and state of the technique, a review of the literature on end-of-life tire rubber, and a search on Google Patents and Espacenet was done using Methodi Ordinatio. For the experimental work, samples were made using concentrations of 20%, 40%, and 60% of end-of-life tire rubber particles, with the addition of thermoset polymeric matrix of isophthalic polyester resin, catalyst, and dyes. In order to evaluate the quality of the mixture, some tests with the material resulting from the mixture were performed: Izod impact strength, Shore D hardness, immersion density determination, flexural strength, and scanning electron microscopy analysis. The results from the tests indicate that the composition with 60% of rubber particles had better mechanical results than samples containing 20% and 40%. The tests also show that end-of-life tire particles promote chemical adsorption (interaction) with the thermoset polymer matrix, favoring the mechanical properties. The final results of this research are: the literature review and the search on granted patents showed that this study is original; the experimental work suggests that practical applications are possible, generating a new product, harder with a proportion of 60% of rubber particles, as indicated by the tests, with a smooth surface that does not require polishing. Thus, this research is characterized as innovative as well as having sustainable characteristics. Full article
(This article belongs to the Special Issue Sustainability with Optimization Techniques)
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Open AccessArticle
Economic Dispatch Optimization of Multi-Water Resources: A Case Study of an Island in South Korea
Sustainability 2019, 11(21), 5964; https://doi.org/10.3390/su11215964 - 26 Oct 2019
Abstract
Ensuring stable and continuous water supplies in isolated but populated areas, such as islands, where the water supply is highly dependent on external factors, is crucial. Sudden loss of function in the water supply system can have enormous social costs. To strengthen water [...] Read more.
Ensuring stable and continuous water supplies in isolated but populated areas, such as islands, where the water supply is highly dependent on external factors, is crucial. Sudden loss of function in the water supply system can have enormous social costs. To strengthen water security and to meet multiple water demands with marginal quality, the optimized selection of locally available, diversified multi-water resources is necessary. This study considers a sustainable water supply problem of Yeongjong Island, 30 km west from Seoul, South Korea. The self-sufficiency of several locally available water resources is calculated for four different scenarios based on the volume and quality of the various water sources. Our optimization results show that using all the available local sources can address the water security issues of the island in the case of interruption in the existing supply system, which is fed from a single source of mainland Korea. This optimization framework can be useful for areas where water must be secured in the event of emergency. Full article
(This article belongs to the Special Issue Sustainability with Optimization Techniques)
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Open AccessArticle
Optimising Decarbonisation Investment for Firms towards Environmental Sustainability
Sustainability 2019, 11(20), 5718; https://doi.org/10.3390/su11205718 - 16 Oct 2019
Abstract
We develop a mixed-integer non-linear programming model for firms’ decarbonisation investment decision-making towards a sustainable environment. Our model seeks the optimal investment for a firm to achieve maximum profit under constraints derived from its environmental protection awareness and the government’s taxation policy. We [...] Read more.
We develop a mixed-integer non-linear programming model for firms’ decarbonisation investment decision-making towards a sustainable environment. Our model seeks the optimal investment for a firm to achieve maximum profit under constraints derived from its environmental protection awareness and the government’s taxation policy. We use an uncertainty theory to formulate the relationship of a firm’s environmental protection awareness and its investment budget levels. Governments’ taxation policy is modelled by a step-wise linear function, where reduced carbon dioxide emission can help the firm reduce taxation. A linearisation is proposed to solve the non-linear problem efficiently. A case study for a sector of electronic component manufacturers in Nottingham, the United Kingdom, demonstrates the practical implementation of the proposed model. Several large-sized instances, which were randomly generated, were utilised to evaluate the the efficiency of model in terms of computational time. Our model can be used to explore budget options to obtain higher profits under a particular taxation policy. Full article
(This article belongs to the Special Issue Sustainability with Optimization Techniques)
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Open AccessArticle
Research on Operation and Financing Strategy of an Emission-Dependent Supply Chain under Variable Transportation Fee Strategy
Sustainability 2019, 11(16), 4363; https://doi.org/10.3390/su11164363 - 12 Aug 2019
Abstract
Under the carbon cap-and-trade mechanism, we consider an emission-dependent supply chain consisting of a supplier, a manufacturer, and a 3PL firm that adopts variable transportation fee strategy. Five models on the basis of the supplier and manufacturer with or without capital constraints are [...] Read more.
Under the carbon cap-and-trade mechanism, we consider an emission-dependent supply chain consisting of a supplier, a manufacturer, and a 3PL firm that adopts variable transportation fee strategy. Five models on the basis of the supplier and manufacturer with or without capital constraints are considered to discuss members’ optimal decisions. The insights are obtained as follows. First, the ordering quantity under 3PL financing service is larger than that under two firms are well-funded when the transportation fee or carbon emission is less than a certain constant. The variable transportation fee strategy and members’ carbon emission reduction behavior are beneficial to each supply chain participant. Second, the carbon emissions of members decide whose capital constraint is more beneficial to 3PL firm, and 3PL prefers to cooperate with a medium rich manufacturer (rich supplier). Third, the external financing modes are analyzed to get the 3PL financing service can create new value for the manufacturer and 3PL if the transportation fee is below a threshold, and this threshold increases with the manufacturer’s carbon emission. When the transportation fee is larger than a threshold, a capital-constrained supplier will choose bank financing, and this threshold decreases with the supplier’s carbon emission. Finally, we demonstrate that the manufacturer’s loss aversion (carbon cap) can increase (decrease) its bankruptcy threshold. Full article
(This article belongs to the Special Issue Sustainability with Optimization Techniques)
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Open AccessArticle
A Sequential Hybridization of Genetic Algorithm and Particle Swarm Optimization for the Optimal Reactive Power Flow
Sustainability 2019, 11(14), 3862; https://doi.org/10.3390/su11143862 - 16 Jul 2019
Abstract
In this paper, the problem of the Optimal Reactive Power Flow (ORPF) in the Algerian Western Network with 102 nodes is solved by the sequential hybridization of metaheuristics methods, which consists of the combination of both the Genetic Algorithm (GA) and the Particle [...] Read more.
In this paper, the problem of the Optimal Reactive Power Flow (ORPF) in the Algerian Western Network with 102 nodes is solved by the sequential hybridization of metaheuristics methods, which consists of the combination of both the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO). The aim of this optimization appears in the minimization of the power losses while keeping the voltage, the generated power, and the transformation ratio of the transformers within their real limits. The results obtained from this method are compared to those obtained from the two methods on populations used separately. It seems that the hybridization method gives good minimizations of the power losses in comparison to those obtained from GA and PSO, individually, considered. However, the hybrid method seems to be faster than the PSO but slower than GA. Full article
(This article belongs to the Special Issue Sustainability with Optimization Techniques)
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Open AccessArticle
Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies
Sustainability 2019, 11(8), 2337; https://doi.org/10.3390/su11082337 - 18 Apr 2019
Cited by 1
Abstract
One of the most important issues in the field of water resource management is the optimal utilization of dam reservoirs. In the current study, the optimal utilization of the Aydoghmoush Dam Reservoir is examined based on a hybrid of the bat algorithm (BA) [...] Read more.
One of the most important issues in the field of water resource management is the optimal utilization of dam reservoirs. In the current study, the optimal utilization of the Aydoghmoush Dam Reservoir is examined based on a hybrid of the bat algorithm (BA) and particle swarm optimization algorithm (PSOA) by increasing the convergence rate of the new hybrid algorithm (HA) without being trapped in the local optima. The main goal of the study was to reduce irrigation deficiencies downstream of this reservoir. The results showed that the HA reduced the computational time and increased the convergence rate. The average downstream irrigation demand over a 10-year period (1991–2000) was 25.12 × 106 m3, while the amount of water release based on the HA was 24.48 × 106 m3. Therefore, the HA was able to meet the irrigation demands better than some other evolutionary algorithms. Moreover, lower indices of root mean square error (RMSE) and mean absolute error (MAE) were obtained for the HA. In addition, a multicriteria decision-making model based on the vulnerability, reliability, and reversibility indices and the objective function performed better with the new HA than with the BA, PSOA, genetic algorithm (GA), and shark algorithm (SA) in terms of providing for downstream irrigation demands. Full article
(This article belongs to the Special Issue Sustainability with Optimization Techniques)
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