Fuzzy Chaos Whale Optimization and BAT Integrated Algorithm for Parameter Estimation in Sewage Treatment

IF 1 4区心理学 Q3 PSYCHOLOGY, CLINICAL

Journal of Social and Clinical Psychology Pub Date : 2021-04-15 DOI:10.36548/JSCP.2021.1.002

Akey Sungheetha, R RajeshSharma

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引用次数: 30

Abstract

Biological and social issues rise with faults that occur in waste water treatment plant (WWTP). Nature as well as humans are negatively impacted by the dangerous effects of poorly treated wastewater. This paper combines the fuzzy logic, chaos theory, whale optimization algorithm (WOA) and BAT algorithm (FCW-BAT) to create a novel model for parameter estimation. The WWTP applications are exposed to FCW-BAT algorithm for identifying nonwell-structured domain, validating decision rules, cost reduction and estimation of several relevant attributes from the complete dataset. The significant data is retained while reducing the complete feature set using FCW-BAT prior to the classification process. Estimation of data uncertainty and fuzzification is performed with the cost function fast fuzzy c-means. The WOA parameters are estimated and tuned with the help of several chaos sequence maps. Complex real-time datasets consisting of missing values and several uncertainty features are tested and experimented. Shorter execution time, higher convergence speed, lower error and improved performance are obtained with the sine chaos map embedded in the proposed algorithm. Additionally, the WWTP sensor process faults may also be detected by the proposed model with great levels of accuracy enabling the system operators to make appropriate control decisions. Journal of Soft Computing Paradigm (JSCP) (2021) Vol.03/ No.01 Pages: 10-18 http://irojournals.com/jscp/ DOI: https://doi.org/10.36548/jscp.2021.1.002 11 ISSN: 2582-2640 (online) Submitted:10.02.2021 Revised: 05.03.2021 Accepted: 28.03.2021 Published: 15.04.2021

查看原文本刊更多论文

污水处理中参数估计的模糊混沌鲸优化与BAT集成算法

随着污水处理厂(WWTP)发生故障，生物和社会问题也随之出现。自然和人类都受到未经处理的废水的危险影响的负面影响。本文将模糊逻辑、混沌理论、鲸鱼优化算法(WOA)和蝙蝠算法(FCW-BAT)相结合，建立了一种新的参数估计模型。WWTP应用程序暴露于FCW-BAT算法，用于识别非结构良好的域，验证决策规则，降低成本并估计完整数据集中的几个相关属性。在分类过程之前，使用FCW-BAT减少完整的特征集，同时保留重要的数据。利用代价函数快速模糊c均值对数据进行不确定性估计和模糊化。利用混沌序列映射对WOA参数进行估计和调优。对由缺失值和若干不确定特征组成的复杂实时数据集进行了测试和实验。该算法中嵌入正弦混沌映射后，执行时间更短，收敛速度更快，误差更小，性能得到改善。此外，所提出的模型也可以以很高的精度检测到WWTP传感器过程故障，从而使系统操作员能够做出适当的控制决策。Journal of Soft Computing Paradigm (JSCP) (2021) Vol.03/ No.01 Pages: 10-18 http://irojournals.com/jscp/ DOI: https://doi.org/10.36548/jscp.2021.1.002 11 ISSN: 2582-2640 (online)提交:10.02.2021修订:05.03.2021接受:28.03.2021发布:15.04.2021

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来源期刊

Journal of Social and Clinical Psychology Multiple-

CiteScore

2.90

自引率

0.00%

发文量

期刊介绍： This journal is devoted to the application of theory and research from social psychology toward the better understanding of human adaptation and adjustment, including both the alleviation of psychological problems and distress (e.g., psychopathology) and the enhancement of psychological well-being among the psychologically healthy. Topics of interest include (but are not limited to) traditionally defined psychopathology (e.g., depression), common emotional and behavioral problems in living (e.g., conflicts in close relationships), the enhancement of subjective well-being, and the processes of psychological change in everyday life (e.g., self-regulation) and professional settings (e.g., psychotherapy and counseling). Articles reporting the results of theory-driven empirical research are given priority, but theoretical articles, review articles, clinical case studies, and essays on professional issues are also welcome. Articles describing the development of new scales (personality or otherwise) or the revision of existing scales are not appropriate for this journal.