Equilibrium strategy based waste load allocation using simulated annealing optimization algorithm

Saadatpour, Motahareh; Afshar, Abbas; Khoshkam, Helaleh; Prakash, Shwet

doi:10.1007/s10661-020-08567-w

Cited by 12 publications

(3 citation statements)

References 27 publications

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“…Liu, Guo [ 48 ] developed a waste load optimization allocation model based on a genetic algorithm with the goal of maximizing economic benefits, minimizing water shortage and maximizing waste load. The third branch includes studies about a game theory model [ 49 , 50 ]. Poorsepahy-Samian, Kerachian [ 51 ] used a game model to allocate water and discharge permits in the agricultural areas of the Karoon Dez River in Iran.…”

Section: Literature Reviewmentioning

confidence: 99%

Interactive Allocation of Water Pollutant Initial Emission Rights in a Basin under Total Amount Control: A Leader-Follower Hierarchical Decision Model

Sun

Shen

et al. 2023

IJERPH

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The initial emission rights allocation is the key measure to achieve the goal of total amount control and deepen the emission trading system. Although many studies have focused on the modeling of initial emission rights allocation, such as using game theory and multi-objective optimization methods, few studies have observed the hierarchical relationship of mutual interference and restriction between watershed management agency and local governments in each subarea during allocation. This relationship directly affects the rationality of the results of regional emission rights allocation. In this study, a leader-follower hierarchical decision model (LFHDM) for allocating initial emission rights in a basin is developed. Based on the bilevel programming approach, the model simulates the interactive decision-making process between the watershed management agency of the upper-level model (LFHDM-U) and the local government of the lower-level model (LFHDM-L) in the allocation under total amount control. A case study of China’s Yellow River Basin is conducted to demonstrate the feasibility and practicality of the model. Findings reveal that, compared with the single-level model, the developed LFHDM has higher satisfaction with the allocation scheme. Under different scenarios, the overall satisfaction of the configuration schemes of COD and NH3-N in each province and autonomous region remains above 0.9. In addition, the allocation volumes of COD and NH3-N in each province of the Yellow River Basin in planning year increase with the enhancement of allowable assimilative capacity of water bodies, but the interval gap of satisfaction with allocation schemes gradually narrows. It shows that when the allowable assimilation capacity of a water body is low, the decision-making of the allocation scheme needs to be more cautious. Moreover, for the Yellow River Basin, apart from Qinghai and Sichuan, the task of reducing water pollutants in other provinces in the next few years is very arduous. The average reduction of total COD and NH3-N in the basin is about 48% and 46%, respectively.

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Section: Literature Reviewmentioning

confidence: 99%

Interactive Allocation of Water Pollutant Initial Emission Rights in a Basin under Total Amount Control: A Leader-Follower Hierarchical Decision Model

Sun

Shen

et al. 2023

IJERPH

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“…Load balancing, i.e., the process of distributing the workload over a set of resources [1], has been widely investigated over the last decades with applications ranging from cloud computing [2]- [4] to flexible manufacturing [5]- [7] and from waste management [8], [9] to smart grids [10]- [12]. Historically, the interest in scheduling and load balancing in computer networks and industrial contexts dates back to the 1970s-1980s, with pioneering works such as [13], where load balancing in multiprocessor systems is considered and [14], where the problem is cast in a flexible manufacturing context.…”

Section: Introductionmentioning

confidence: 99%

Best Effort Workload Disparity Minimization in Multi-Agent Systems With Capacity Constraints

Oliva

Charalambous

Faramondi

et al. 2023

IEEE Trans. Automat. Contr.

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In this paper we propose a load balancing problem formulation where agents cooperate with the aim of simultaneously minimizing both the workload disparity among the agents and the overall workload transfer, under network capacity constraints. Notably, in our computational setting, the network is not just a device for the distributed solution of an optimization problem; on the contrary, the problem shares the same sparsity pattern as the network, and this aspect allows to solve it without the need for the agents to store large amount of data. In particular, while the load balancing process occurs over directed links, agents' communication is assumed to be bidirectional. For this optimization setting, first, an optimality condition is derived; then, a provably convergent distributed algorithm to compute the optimal solution is developed, and an upper bound on the convergence rate is characterized. Simulation results are provided to corroborate the validity and performance of our theoretical findings.

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“…For example, Susikumar & Mujumdar (1998) and Karmakar & Mujumdar (2006) developed a Fuzzy optimization model for this purpose. However, the interests of the different stakeholders in the system, such as polluters and environmental protection legal institutions, often compete with each other in determining the WLA (Nikoo et al 2016;Saadatpour et al 2020). As a result, the stakeholders may need to negotiate with each other to reach an agreement on an acceptable level of risk (Ahmadisharaf et al 2019).…”

Section: Introductionmentioning

confidence: 99%

A new fuzzy approach and bankruptcy theory in risk estimation in Waste Load Allocation

Nouri,

Bazargan-Lari,

Oftadeh

2023

Environ Monit Assess

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In this paper, a simulator-optimizer model based on risk analysis was developed to determine the Waste Load Allocation (WLA). A new Fuzzy index as Fuzzy Risk Index (FRI) was linked with multi-objective optimization to minimize FRI for the environmental stakeholder and the total cost of sewage treatment for the polluting industries as the other collective stakeholder.Afterwards, the conflict was resolved with the help of Nash Bargaining and bankruptcy approach (Constrained Equal Awards Rule). The model was run using quantitative/qualitative data for the KhoramAbad River. To check the efficiency of FRI, the process followed for WLA was reimplemented by the Monte Carlo simulation (MCS). The comparison between the two approaches showed the results obtained from the Fuzzy arithmetic of all fields, including the river qualitative simulation, non-overlapping procedure, agreed point by Nash bargaining, and bankruptcy output, were very close to the results of the MCS.

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Equilibrium strategy based waste load allocation using simulated annealing optimization algorithm

Cited by 12 publications

References 27 publications

Interactive Allocation of Water Pollutant Initial Emission Rights in a Basin under Total Amount Control: A Leader-Follower Hierarchical Decision Model

Interactive Allocation of Water Pollutant Initial Emission Rights in a Basin under Total Amount Control: A Leader-Follower Hierarchical Decision Model

Best Effort Workload Disparity Minimization in Multi-Agent Systems With Capacity Constraints

A new fuzzy approach and bankruptcy theory in risk estimation in Waste Load Allocation

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