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Evolutionary Multi-Objective Optimal Control of Combined Sewer Overflows
Upaka S. Rathnayake
, Tiku T. Tanyimboh
University of Strathclyde
Sri Lanka Institute of Information Technology
Research output
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Contribution to journal
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Article
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peer-review
45
Citations (Scopus)
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Dive into the research topics of 'Evolutionary Multi-Objective Optimal Control of Combined Sewer Overflows'. Together they form a unique fingerprint.
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Engineering
Combined Sewers
100%
Wastewater Treatment
100%
Optimal Control
100%
Sewer System
40%
Genetic Algorithm
20%
Quality Index
20%
Unsteady Flow
20%
Optimization Approach
20%
Control Objective
20%
Multiobjective Genetic Algorithm
20%
Interceptor Sewer
20%
Temporal Variation
20%
Spatial Variation
20%
Stormwater Management
20%
Active Control
20%
Secondary Treatment
20%
Earth and Planetary Sciences
Waste Water Treatment
100%
Optimal Control
100%
Genetic Algorithm
40%
Spatial Variation
20%
Temporal Variation
20%
Stormwater Management
20%
Combined Sewer System
20%
Active Control
20%
Unsteady Flow
20%
Chemical Engineering
Wastewater Treatment
100%
Stormwater
20%