[HTML][HTML] Optimal computing budget allocation for the vector evaluated genetic algorithm in multi-objective simulation optimization
Motivated by the vector evaluation genetic algorithm (VEGA), this research develops
simulation budget allocation rules for the VEGA in solving simulation optimization problems …
simulation budget allocation rules for the VEGA in solving simulation optimization problems …
An integrated assessment tool to define effective air quality policies at regional scale
In this paper, the Integrated Assessment of air quality is dealt with at regional scale. First the
paper describes the main challenges to tackle current air pollution control, including …
paper describes the main challenges to tackle current air pollution control, including …
A cooperative reduction model for regional air pollution control in China that considers adverse health effects and pollutant reduction costs
Y **e, L Zhao, J Xue, Q Hu, X Xu, H Wang - Science of the Total …, 2016 - Elsevier
How to effectively control severe regional air pollution has become a focus of global concern
recently. The non-cooperative reduction model (NCRM) is still the main air pollution control …
recently. The non-cooperative reduction model (NCRM) is still the main air pollution control …
Neuro-fuzzy and neural network systems for air quality control
In order to define efficient air quality plans, Regional Authorities need suitable tools to
evaluate both the impact of emission reduction strategies on pollution indexes and the costs …
evaluate both the impact of emission reduction strategies on pollution indexes and the costs …
A comparison of reanalysis techniques: Applying optimal interpolation and Ensemble Kalman Filtering to improve air quality monitoring at mesoscale
To fulfill the requirements of the 2008/50 Directive, which allows member states and regional
authorities to use a combination of measurement and modeling to monitor air pollution …
authorities to use a combination of measurement and modeling to monitor air pollution …
Lazy Learning based surrogate models for air quality planning
Air pollution in atmosphere derives from complex non-linear relationships, involving
anthropogenic and biogenic precursor emissions. Due to this complexity, Decision Support …
anthropogenic and biogenic precursor emissions. Due to this complexity, Decision Support …
Predicting the carbon dioxide emission of China using a novel augmented hypo-variance brain storm optimisation and the impulse response function
For the past decade, the level of carbon dioxide emission in most cities in China is on the
ascendancy. Yet, better prediction of environmental pollution is at the fringes of recent …
ascendancy. Yet, better prediction of environmental pollution is at the fringes of recent …
Application of the DPSIR framework to air quality approaches
H Relvas, AI Miranda - Air Quality, Atmosphere & Health, 2018 - Springer
Current air quality legislation in Europe will lead to substantial air quality improvements, but
without further emission control efforts, the most critical hotspots will persist, with important …
without further emission control efforts, the most critical hotspots will persist, with important …
Health benefit modelling and optimization of vehicular pollution control strategies
NV Sonawane, RS Patil, V Sethi - Atmospheric Environment, 2012 - Elsevier
This study asserts that the evaluation of pollution reduction strategies should be approached
on the basis of health benefits. The framework presented could be used for decision making …
on the basis of health benefits. The framework presented could be used for decision making …
Optimization model for urban air quality policy design: A case study in Latin America
Air pollution is a major problem caused by urban growth and poses a high risk to human
health. To mitigate the negative impact of pollution, some cities have implemented air quality …
health. To mitigate the negative impact of pollution, some cities have implemented air quality …