WASTE LOAD ALLOCATION BASED ON TOTAL MAXIMUM DAILY LOAD APPROACH USING THE CHARGED SYSTEM SEARCH (CSS) ALGORITHM

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FARAJI E.; AFSHAR A.; FEIZI F.

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Journal Paper

Paper Information

Journal: WATER AND WASTEWATER Year:2016 | Volume:27 | Issue:1 (101) Page(s): 67-80

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Title

WASTE LOAD ALLOCATION BASED ON TOTAL MAXIMUM DAILY LOAD APPROACH USING THE CHARGED SYSTEM SEARCH (CSS) ALGORITHM

Author(s)

FARAJI E. | AFSHAR A. | FEIZI F. | Issue Writer Certificate

Keywords

META HEURISTIC ALGORITHMSQ1

CHARGED SYSTEM SEARCH ALGORITHM (CSS)Q2

WASTE LOAD ALLOCATIONQ3

TOTAL MAXIMUM DAILY LOAD (TMDL)Q2

Abstract

In this research, the capability of a charged system search algorithm (CSS) in handling water management optimization problems is investigated. First, two complex mathematical problems are solved by CSS and the results are compared with those obtained from other metaheuristic algorithms. In the last step, the optimization model developed by the CSS algorithm is applied to the WASTE LOAD ALLOCATION in rivers based on the total maximum daily load (TMDL) concept. The results are presented in Tables and Figures for easy comparison. The study indicates the superiority of the CSS algorithm in terms of its speed and performance over the other metaheuristic algorithms while its precision in water management optimization problems is verified.

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APA: Copy

FARAJI, E., AFSHAR, A., & FEIZI, F.. (2016). WASTE LOAD ALLOCATION BASED ON TOTAL MAXIMUM DAILY LOAD APPROACH USING THE CHARGED SYSTEM SEARCH (CSS) ALGORITHM. WATER AND WASTEWATER, 27(1 (101)), 67-80. SID. https://sid.ir/paper/103478/en

Vancouver: Copy

FARAJI E., AFSHAR A., FEIZI F.. WASTE LOAD ALLOCATION BASED ON TOTAL MAXIMUM DAILY LOAD APPROACH USING THE CHARGED SYSTEM SEARCH (CSS) ALGORITHM. WATER AND WASTEWATER[Internet]. 2016;27(1 (101)):67-80. Available from: https://sid.ir/paper/103478/en

IEEE: Copy

E. FARAJI, A. AFSHAR, and F. FEIZI, “WASTE LOAD ALLOCATION BASED ON TOTAL MAXIMUM DAILY LOAD APPROACH USING THE CHARGED SYSTEM SEARCH (CSS) ALGORITHM,” WATER AND WASTEWATER, vol. 27, no. 1 (101), pp. 67–80, 2016, [Online]. Available: https://sid.ir/paper/103478/en

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