ANN-based modeling and reducing dual-fuel engine’s challenging emissions by multi-objective evolutionary algorithm NSGA-II

Lotfan, Saeed; Ghiasi, R. Akbarpour; Fallah, M.; Sadeghi, Morteza

doi:10.1016/j.apenergy.2016.04.099

Cited by 111 publications

(29 citation statements)

References 35 publications

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“…The non-dominated sorting genetic algorithm-II (NSGA-II) was formulated by Deb et al [29] as a fast and very efficient multiple-objective evolutionary algorithm, which incorporates the features of elitist archive and a rule for adaptation assignment that takes into account both the rank and the distance of each solution regarding others [30,31]. The algorithm consists of five operators: initialization, fast non-dominated sorting, crossover, mutation, and the elitist crowded comparison operator.…”

Section: Optimization Algorithmmentioning

confidence: 99%

Impacts of Inter-Basin Water Transfer Projects on Optimal Water Resources Allocation in the Hanjiang River Basin, China

et al. 2019

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Inter-basin water transfer project is an effective engineering countermeasure to alleviate the pressure of water supply in water-deficient areas and balance the uneven distribution of water resources. To assess the impacts of inter-basin water transfer projects on optimal water resources allocation, an integrated water resources management framework is proposed, and is applied to the middle and lower reaches of the Hanjiang River Basin in China. Firstly, future water demands are analyzed as inputs. Then, a multi-objective water resources allocation model is formulated mitigating the negative impacts of water transfer projects on downstream water quantity and quality by using the non-dominated sorting genetic algorithm-II (NSGA-II). Finally, the indicators of water supply reliability, vulnerability and resilience are evaluated under different scenarios of inter-basin water transfer projects. The results indicate that: (1) the reliability and resilience of the water donor system will be gradually reduced while the vulnerability will be increased with the expansion of water transfer projects and the increase of water demand, (2) water supply risk is likely to increase in all zones (because zones at the boundary cannot obtain sufficient water due to limitations of local inflow and reservoir operation, while the amount of water available in the zones along the mainstream river is directly decreased by the water transfer projects), (3) more water supply measures and compensation measures will need to be implemented in the water donor areas. The framework proposed in this study to evaluate the comprehensive impact of inter-basin water transfer projects is conducive to water resources management. mitigating the uneven distribution of water resources and balancing the inter-basin water resource development [6,7]. Many large-scale inter-basin water transfer projects have been implemented and planned in China, transferring part of the water from water-abundant basins to water-deficient basins, such as the Yellow River Project [8] and the East, Middle and West Route for the South-to-North Water Transfer Project [9][10][11]. The implementation of these water transfer projects involves complex water diversion works, long tunnel construction, large-scale water pumping, and reservoir operation. Their impacts on socio-economic and environmental systems are so great that they cause widespread concern in society. As well as playing an important supporting and safeguarding role in promoting economic and social development in the water receiving areas, any inter-basin water transfer system can also have complex physical, chemical, hydrological and biological implications for both the donor and receiving areas [12,13]. Undoubtedly, it is very important to thoroughly assess the potential impacts of the proposed water transfer projects.Substantial studies have assessed the impacts of inter-basin water transfer projects implemented across the world [14]. However, most of these studies emphasize the impacts on biodiversity conservation [1...

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Section: Optimization Algorithmmentioning

confidence: 99%

Impacts of Inter-Basin Water Transfer Projects on Optimal Water Resources Allocation in the Hanjiang River Basin, China

et al. 2019

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“…As an intelligent technique, particle swarm optimization has been adopted by Olivera et al [7] to reduce vehicle emissions and fuel consumption in the city. In 2016, Lotfan et al [8] combined ANN and nondominated sorting genetic algorithm II to model and reduce CO and NOx emissions from a direct injection dual-fuel engine. ANN has been utilized by Perrotta et al [9] in 2017 to model fuel consumption of trucks.…”

Section: Introductionmentioning

confidence: 99%

A Case Study on Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise: Utilizing Artificial Intelligence Techniques to Design an Effective Active Suspension System

Azizi

2020

Complexity

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The goal of this research is to design an Artificial Intelligence controller for the active suspension system of vehicles. The Ring Probabilistic Logic Neural Network (RPLNN) architecture has been adopted to design the proposed controller, and the pavement condition has been modelled utilizing Gaussian white noise. The results show that the proposed RPLNN controller has an effective performance to reduce the unwanted stochastic effect of the road profile.

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“…The optimization result will be more satisfactory because the exploration is not subjected to a limited number of simulating data and computing resources. General surrogate models contain Response Surface Methodology (RSM) [26,27], Radial Basis Function (RBF) [28][29][30][31][32], and Kriging [33][34][35]. However, owing to the diverse functional characteristics of the popular models, it is important to choose the most appropriate models for the responses of hydraulic objectives to diffusion segment parameters.…”

Section: Introductionmentioning

confidence: 99%

CFD Optimization Process of a Lateral Inlet/Outlet Diffusion Part of a Pumped Hydroelectric Storage Based on Optimal Surrogate Models

et al. 2019

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The lateral inlet/outlet plays a critical role in the connecting tunnels of a water delivery system in a pumped hydroelectric storage (PHES). Therefore, the shape of the inlet/outlet was improved through computational fluid dynamics (CFD) optimization based on optimal surrogate models. The CFD method applied in this paper was validated by a physical experiment that was carefully designed to meet bidirectional flow requirements. To determine a good compromise between the generation and pump mode, reasonable weights were defined to better evaluate the overall performance. In order to find suitable surrogate models to improve the optimization process, the best suited surrogate models were identified by an optimal model selection method. The optimal configurations of the surrogate model for the head loss and the velocity distribution coefficient were the Kriging model with a Gaussian kernel and the Kriging model with an Exponential kernel, respectively. Finally, a multi-objective surrogate-based optimization method was used to determine the optimum design. The overall head loss coefficient and velocity distribution coefficients were 0.248 and 1.416. Compared with the original shape, the coefficients decrease by 6.42% and 40.28%, respectively. The methods and findings of this work may provide practical guidelines for designers and researchers.

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ANN-based modeling and reducing dual-fuel engine’s challenging emissions by multi-objective evolutionary algorithm NSGA-II

Cited by 111 publications

References 35 publications

Impacts of Inter-Basin Water Transfer Projects on Optimal Water Resources Allocation in the Hanjiang River Basin, China

Impacts of Inter-Basin Water Transfer Projects on Optimal Water Resources Allocation in the Hanjiang River Basin, China

A Case Study on Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise: Utilizing Artificial Intelligence Techniques to Design an Effective Active Suspension System

CFD Optimization Process of a Lateral Inlet/Outlet Diffusion Part of a Pumped Hydroelectric Storage Based on Optimal Surrogate Models

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