H. Esmaeili, M. A. Afshar Kazemi, R. Radfar, N. Pilevari
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From chaotic errors to natural curves: real-coded genetic calibration of wastewater treatment systems
Non-normal residuals in rule-based wastewater controllers undermine reliability and hinder statistical monitoring. This study resolves the issue by fusing a zero-order Sugeno fuzzy-inference system with a real-coded genetic algorithm that jointly tunes rule weights and membership functions while steering errors toward Gaussian form. Fuzzy-cognitive mapping reduces the candidate rule set to five dominant rules, which are then optimized on a training–testing split from a full-scale plant. The resulting controller lifts the treated-water-quality index from 51.08 to 69.28, lowers mean-squared error and attains a test RMSE of 0.03; the residual standard deviation is virtually identical, confirming a near-normal error distribution.
期刊介绍：
International Journal of Environmental Science and Technology (IJEST) is an international scholarly refereed research journal which aims to promote the theory and practice of environmental science and technology, innovation, engineering and management.
A broad outline of the journal''s scope includes: peer reviewed original research articles, case and technical reports, reviews and analyses papers, short communications and notes to the editor, in interdisciplinary information on the practice and status of research in environmental science and technology, both natural and man made.
The main aspects of research areas include, but are not exclusive to; environmental chemistry and biology, environments pollution control and abatement technology, transport and fate of pollutants in the environment, concentrations and dispersion of wastes in air, water, and soil, point and non-point sources pollution, heavy metals and organic compounds in the environment, atmospheric pollutants and trace gases, solid and hazardous waste management; soil biodegradation and bioremediation of contaminated sites; environmental impact assessment, industrial ecology, ecological and human risk assessment; improved energy management and auditing efficiency and environmental standards and criteria.
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