scholarly journals Multi-Objective Optimal Allocation of Wireless Bus Charging Stations Considering Costs and the Environmental Impact

2020 ◽  
Vol 12 (6) ◽  
pp. 2318 ◽  
Author(s):  
Oren E. Nahum ◽  
Yuval Hadas
Keyword(s):  
Fossil Fuel ◽  
Optimal Allocation ◽  
Linear Optimization ◽  
Living Environment ◽  
Test Case ◽  
Environmental Benefit ◽  
Allocation Model ◽  
Suggested Approach ◽  
Multi Objective ◽  
Charging Stations

In recent years, due to environmental concerns, there has been an increasing desire to develop alternative solutions to traditional energy sources. Since transportation is a significant fossil-fuel consumer, the development of electric vehicles, especially buses, has the potential to reduce fossil-fuel use and thus provide a better living environment. The aim of the current work was to develop an optimal allocation model for designing a system-wide network of wireless bus charging stations. The main advantages of wireless charging are the need for a much smaller battery and the fact that the charging process may occur under both static and dynamic (in-motion) conditions. The suggested approach consisted of a multi-objective model that selected the locations for the charging stations while (a) minimizing the costs, (b) maximizing the environmental benefit, and (c) minimizing the number of charging stations. The problem was formulated as a multi-objective non-linear optimization model with both deterministic and stochastic variations. An efficient genetic algorithm was introduced to solve the problem. A test case was used to demonstrate the model; accordingly, the decision-maker was provided with a solution set from which the best fit solution could be selected.

scholarly journals Optimal Allocation Model for EV Charging Stations Coordinating Investor and User Benefits

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 36039-36049 ◽  
Author(s):  
Youbo Liu ◽  
Yue Xiang ◽  
Yangyang Tan ◽  
Bin Wang ◽  
Junyong Liu ◽  
...  
Keyword(s):  
Optimal Allocation ◽  
Allocation Model ◽  
Optimal Allocation Model ◽  
Charging Stations ◽  
Ev Charging

scholarly journals Multi-objective optimal of surface-groundwater resources in the Dongxiezong irrigation district

2018 ◽  
Vol 246 ◽  
pp. 02054
Author(s):  
Hengyue Yang ◽  
Shaohui Zhang ◽  
Wei Dai ◽  
Yinong Li ◽  
Xin Zeng
Keyword(s):  
Water Resources ◽  
Optimal Allocation ◽  
Groundwater Resources ◽  
Irrigation District ◽  
Irrigation Performance ◽  
Temporal And Spatial Distribution ◽  
Allocation Model ◽  
Multi Objective ◽  
Irrigation Districts ◽  
Rational Allocation

the water cycle in irrigation districts is extremely complicated under the dual influence of strong human activities and the nature. To establish the multi-water source rational allocation model of irrigation district, this paper first establish a multi-objective function based on economic utility, ecological utility and irrigation performance and improve Hicks optimization method. Then, combine it with chaotic particle swarm optimization algorithm to carry out research on temporal and spatial distribution evolution and optimal allocation of water resources in irrigation districts and collaborative scheduling and regulation of surface-groundwater. The multi-objective rational allocation is an important basis for the efficient use of water resources in irrigation districts and ecological harmony. This paper takes the typical irrigation area of Dongxiezong in Heilongjiang Province as the object for the study of the optimal allocation method of water resources in the irrigation district.

scholarly journals Analysis and Research on the Optimal Allocation of Regional Water Resources

2018 ◽  
Vol 38 ◽  
pp. 03055
Author(s):  
Xi rui-chao ◽  
Gu yu-jie
Keyword(s):  
Water Resources ◽  
Basic Concept ◽  
Optimal Allocation ◽  
Present Situation ◽  
Water Shortage ◽  
Social Benefits ◽  
Allocation Model ◽  
Multi Objective ◽  
Optimal Allocation Model ◽  
Regional Water

Starting from the basic concept of optimal allocation of water resources, taking the allocation of water resources in Tianjin as an example, the present situation of water resources in Tianjin is analyzed, and the multi-objective optimal allocation model of water resources is used to optimize the allocation of water resources. We use LINGO to solve the model, get the optimal allocation plan that meets the economic and social benefits, and put forward relevant policies and regulations, so as to provide theoretical which is basis for alleviating and solving the problem of water shortage.

Water Resources Optimal Allocation Based on Multi-Objective Differential Evolution Algorithm

2013 ◽  
Vol 278-280 ◽  
pp. 1271-1274 ◽  
Author(s):  
Ke Peng Feng ◽  
Jun Cang Tian
Keyword(s):  
Water Resources ◽  
Differential Evolution ◽  
Optimal Allocation ◽  
Search Algorithm ◽  
Differential Evolution Algorithm ◽  
Population Based ◽  
Allocation Model ◽  
Multi Objective ◽  
Regional Water ◽  
Water Resources Optimal Allocation

Differential evolution is a simple and powerful globally optimization new algorithm. It is a population-based, direct search algorithm, and has been successfully applied in various fields. Optimal allocation of water resources is an important part of the planning of water resources. Traditional planning methods prove insufficient for the multi-objective system of water resources. In this paper, multi-objective differential evolution(MODE) algorithm applied to the regional water resources optimal allocation, through definition of economic, social, Eco-environmental three objective function and the constraints, the regional water resources optimal allocation model has been established, and then multi-objective genetic algorithm is used to solve the model .The model gets different results for optimal allocation water resources of Ningxia in 2030(Guarantee rate of water supply 50% and 75%). The result of example proves that the method is reasonable and feasible in the application of region water resources optimal allocation.

scholarly journals A Model-Driven Approach for Solving the Software Component Allocation Problem

Algorithms ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 354
Author(s):  
Issam Al-Azzoni ◽  
Julian Blank ◽  
Nenad Petrović
Keyword(s):  
Optimal Allocation ◽  
Smart Cities ◽  
Fog Computing ◽  
Linear Optimization ◽  
Software Component ◽  
Problem Definition ◽  
Allocation Problem ◽  
Multi Objective ◽  
Model Driven ◽  
Component Allocation

The underlying infrastructure paradigms behind the novel usage scenarios and services are becoming increasingly complex—from everyday life in smart cities to industrial environments. Both the number of devices involved and their heterogeneity make the allocation of software components quite challenging. Despite the enormous flexibility enabled by component-based software engineering, finding the optimal allocation of software artifacts to the pool of available devices and computation units could bring many benefits, such as improved quality of service (QoS), reduced energy consumption, reduction of costs, and many others. Therefore, in this paper, we introduce a model-based framework that aims to solve the software component allocation problem (CAP). We formulate it as an optimization problem with either single or multiple objective functions and cover both cases in the proposed framework. Additionally, our framework also provides visualization and comparison of the optimal solutions in the case of multi-objective component allocation. The main contributions introduced in this paper are: (1) a novel methodology for tackling CAP-alike problems based on the usage of model-driven engineering (MDE) for both problem definition and solution representation; (2) a set of Python tools that enable the workflow starting from the CAP model interpretation, after that the generation of optimal allocations and, finally, result visualization. The proposed framework is compared to other similar works using either linear optimization, genetic algorithm (GA), and ant colony optimization (ACO) algorithm within the experiments based on notable papers on this topic, covering various usage scenarios—from Cloud and Fog computing infrastructure management to embedded systems, robotics, and telecommunications. According to the achieved results, our framework performs much faster than GA and ACO-based solutions. Apart from various benefits of adopting a multi-objective approach in many cases, it also shows significant speedup compared to frameworks leveraging single-objective linear optimization, especially in the case of larger problem models.

scholarly journals Multi-objective optimal allocation of water resources in Yangchangwan mining area based on ecological priority

2021 ◽  
Vol 260 ◽  
pp. 01004
Author(s):  
Zhen Zhang ◽  
Panyue Zhang ◽  
Guangming Zhang
Keyword(s):  
Water Resources ◽  
Water Demand ◽  
Optimal Allocation ◽  
Mine Drainage ◽  
Mining Area ◽  
Green Water ◽  
Resource Saving ◽  
Allocation Model ◽  
Multi Objective ◽  
Optimal Allocation Model

With the development of mining area economy and the adjustment of industrial structure from traditional heavy industry to hightech industry, the supply and demand structure of water resources has changed significantly, and the ecological damage in mining area make the ecological water consumption increase significantly. This paper summarizes the water supply of surface water, groundwater, mine drainage and reclaimed water, as well as all kinds of water demand. Based on the principle of ecological priority, a multi-objective optimal allocation model for the coordinated development of ecological environment, social economy and water resources in Yangchangwan mining area was constructed. The results show that the multi-objective optimal allocation model well coordinated the social and economic development goals and resource saving goals, and the optimization scheme ensured that the water demand satisfaction of each water sector reached 100%. On the one hand, it can provide technical support for the mining area to realize the green water and green mountains pattern as soon as possible, on the other hand, it can also provide reference for water resources management in other similar areas.

City Optimal Allocation of Water Resources Research Based on Sustainable Development

2012 ◽  
Vol 446-449 ◽  
pp. 2703-2707 ◽  
Author(s):  
Wen Sun ◽  
Zhao Jing Zeng
Keyword(s):  
Sustainable Development ◽  
Water Resources ◽  
Water Supply ◽  
Optimal Allocation ◽  
Optimization Theory ◽  
Living Environment ◽  
Dynamic Programming Principle ◽  
Urban Water ◽  
Urban Water Supply ◽  
Allocation Model

The water resources is a complex coupling system,combined with the human social development and living environment. Water resources optimal allocation plays an important role in supporting the whole sustainable development of national economy in Weinan city as the solution about the shortage of urban water resources .In this paper, we take the urban water supply and the water resources system in Weinan city as the research object, through the analysis of the actual data, analyzing the elements and relationships between systems of urban water supply in Weinan city and the characteristics of the water resources project, adopting optimization theory of dynamic programming principle to build the Weinan city water resources optimization allocation model, and puts forward the method of benefit function to obtain the strategy plan for optimal allocation of water resources in the city.

scholarly journals Multi-objective optimal allocation of water resources based on ‘three red lines’ in Qinzhou, China

Water Policy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 541-560
Author(s):  
Haopeng Guan ◽  
Lihua Chen ◽  
Shuping Huang ◽  
Cheng Yan ◽  
Yan Wang
Keyword(s):  
Resource Allocation ◽  
Water Resources ◽  
Water Resource ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Domestic Water ◽  
Nsga Ii ◽  
Allocation Model ◽  
Water Resource Allocation ◽  
Multi Objective

Abstract Water shortages and pollution emerge because of anthropogenic demands. Since 2011, ‘China's Most Stringent Water Resources Management’ (CMSWRM) has been comprehensively enacted in the country. This paper presents the characteristics of the ‘three red lines’ (TRL) and a multi-objective optimal allocation model based on the TRL constraint, considering the benefits for society, the economy, and the environment. This model had been applied to the reasonable allocation of water supply and demand in Qinzhou for the planning years of 2020 and 2030. Two water resource allocation scenarios for these years were configured by setting different chemical oxygen demand (COD) concentrations for wastewater discharge in the municipal, secondary, tertiary, and agricultural sectors. The gamultiobj function based on the NSGA-II algorithm was used to solve the model in MATLAB. The results indicate that if COD concentrations in each sector are not reduced, then restrictions on domestic water sources will be necessary, both in 2020 and 2030. The two water resource allocation scenarios in 2020 and 2030 can provide a reference for decision-makers in Qinzhou to implement CMSWRM.

Optimal location of EV charging stations in a neighborhood considering a multi-objective approach

2021 ◽  
Vol 199 ◽  
pp. 107391
Author(s):  
Leonardo Bitencourt ◽  
Tiago P. Abud ◽  
Bruno H. Dias ◽  
Bruno S.M.C. Borba ◽  
Renan S. Maciel ◽  
...  
Keyword(s):  
Optimal Location ◽  
Multi Objective ◽  
Charging Stations ◽  
Ev Charging
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