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Murshid Kamal, Srikant Gupta, Prasenjit Chatterjee, Dragan Pamucar and Zeljko Stevic
This paper deals with the modeling and optimization of a bi-level multi-objective production planning problem, where some of the coefficients of objective functions and parameters of constraints are multi-choice. A general transformation technique based ...
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Teg Alam
Optimal financial planning plays a vital role in maintaining concentration and on the path as the organization extends, when new challenges materialize, and when unpredictable situations pounded. This study aims to develop and implement a goal programmin...
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Son Tung Ngo, Jafreezal Jaafar, Izzatdin Abdul Aziz and Bui Ngoc Anh
The problem of scheduling is an area that has attracted a lot of attention from researchers for many years. Its goal is to optimize resources in the system. The lecturer?s assigning task is an example of the timetabling problem, a class of scheduling. Th...
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Ye Xu, Wei Li, Xiaowen Ding
Pág. 1 - 18
In this paper, a stochastic multi-objective chance-constrained programming model (SMOCCP) was developed for tackling the water supply management problem. Two objectives were included in this model, which are the minimization of leakage loss amounts and t...
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Erdem Emin Maras, Kadir Dönmez and Yeliz Emecen
First responders to forest fires, especially in areas that cannot be reached by land, are carried out by helicopters. In large forest lands, the necessity of helicopters to reach fire areas in the shortest time reveals the importance of heliport location...
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Federico Mosquera, Pieter Smet and Greet Vanden Berghe
A direct way of reducing the number of cars on the road is to dissuade individuals from exclusively using their car and instead integrate public transport into their daily routine. Planning multi-modal journeys is a complex task for which individuals oft...
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Seyyed Danial Nazemi, Mohsen A. Jafari and Esmat Zaidan
The impact of load growth on electricity peak demand is becoming a vital concern for utilities. To prevent the need to build new power plants or upgrade transmission lines, power companies are trying to design new demand response programs. These programs...
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Jing Zhang, Xiangpeng Zhan, Taoyong Li, Linru Jiang, Jun Yang, Yuanxing Zhang, Xiaohong Diao and Sining Han
The problem of electricity pricing for charging stations is a multi-objective mixed integer nonlinear programming. Existing algorithms have low efficiency in solving this problem. In this paper, a convex optimization algorithm is proposed to get the opti...
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Mahboobehalsadat Hajmirfattahtabrizi and Huaming Song
In recent years, due to high pressure of expenses on supply chain systems and members, the decision makers in these situations are seeking to create policy and strategies to minimize the total cost for their supply chain process with low target price and...
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Xujun Liu, Mengjiao Zhang, Han Su, Feifei Dong, Yao Ji, Yong Liu
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A multi-objective chance-constrained programming integrated with Genetic Algorithm and robustness evaluation methods was proposed to weigh the conflict between system investment against risk for watershed load reduction, which was firstly applied to nutr...
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Xujun Liu, Mengjiao Zhang, Han Su, Feifei Dong, Yao Ji and Yong Liu
A multi-objective chance-constrained programming integrated with Genetic Algorithm and robustness evaluation methods was proposed to weigh the conflict between system investment against risk for watershed load reduction, which was firstly applied to nutr...
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Federica Monaco, Guido Sali, Manel Ben Hassen, Arianna Facchi, Marco Romani and Giampiero Valè
Due to the changing climatic and environmental conditions, modifications in agricultural and water policies have been made, and irrigated agriculture has to face the challenge of making a rational and optimal use of the water resource effectively availab...
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Federica Monaco, Guido Sali, Manel Ben Hassen, Arianna Facchi, Marco Romani, Giampiero Valè
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Due to the changing climatic and environmental conditions, modifications in agricultural and water policies have been made, and irrigated agriculture has to face the challenge of making a rational and optimal use of the water resource effectively availab...
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Mirko M. Stojiljkovic, Mladen M. Stojiljkovic and Bratislav D. Blagojevic
In this paper, a methodology for multi-objective optimization of trigeneration plants is presented. It is primarily applicable to the systems for buildings? energy supply characterized by high load variations on daily, weekly and annual bases, as well as...
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Haifeng Zhang, Feng Gao, Jiang Wu, Kun Liu and Xiaolin Liu
Wind Power Producers (WPPs) seek to maximize profit and minimize the imbalance costs when bidding into the day-ahead market, but uncertainties in the hourly available wind and forecasting errors make the bidding risky. This paper assumes that hourly wind...
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Xiaobin Dong, Yufang Zhang, Weijia Cui, Bin Xun, Baohua Yu, Sergio Ulgiati and Xinshi Zhang
The emergy concept, integrated with a multi-objective linear programming method, was used to model the agricultural structure of Xinjiang Uygur Autonomous Region under the consideration of the need to develop a low-carbon economy. The em...
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Wenyi Wang and Weihua Zeng
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Gowthaman Sivakumar, Eman Almehdawe and Golam Kabir
The COVID-19 pandemic has significantly impacted almost every sector. This impact has been especially felt in the healthcare sector, as the pandemic has affected its stability, which has highlighted the need for improvements in service. As such, we propo...
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Sanita Dhaubanjar, Claus Davidsen, Peter Bauer-Gottwein
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While the water?energy?food nexus approach is becoming increasingly important for more efficient resource utilization and economic development, limited quantitative tools are available to incorporate the approach in decision-making. We propose a spatiall...
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Davide Pivetta, Chiara Dall?Armi and Rodolfo Taccani
Green hydrogen is addressed as a promising solution to decarbonize industrial and mobility sectors. In this context, ports could play a key role not only as hydrogen users but also as suppliers for industrial plants with which they have strong commercial...
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