Sewer System Design Using Simulated Annealing in Excel

被引:0
|
作者
Karovic, Omer [1 ]
Mays, Larry W. [1 ]
机构
[1] Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ 85004 USA
关键词
Storm sewer systems; Optimization; Cost minimization; Simulated annealing; OPTIMAL LAYOUT; OPTIMIZATION;
D O I
10.1007/s11269-014-0750-8
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
An optimization procedure has been developed for branching storm and sanitary sewer systems with a pre-determined layout for determining the minimum total cost. The model was developed within Microsoft Excel using simulated annealing as the optimization procedure. The total cost of the storm sewer system that was obtained with this optimal design procedure was compared to the total cost of the system as obtained from the conventional straight slope design procedure. Applying the simulated annealing optimizer to the design of the branching storm sewer network resulted in a cost savings of over $77,100 or about 7 % (a reduction from $1,117,700 to $1,040,600). These significant savings were realized by simply going an extra step and implementing an optimization technique during the design phase. Use of Excel should enhance the availability and the usage of such an optimization model for the design of storm and sanitary sewer systems by consulting engineers and various agencies.
引用
收藏
页码:4551 / 4565
页数:15
相关论文
共 50 条
  • [31] Optimization of Cognitive Radio System Using Simulated Annealing
    Kiranjot Kaur
    Munish Rattan
    Manjeet Singh Patterh
    Wireless Personal Communications, 2013, 71 : 1283 - 1296
  • [32] Optimization of Cognitive Radio System Using Simulated Annealing
    Kaur, Kiranjot
    Rattan, Munish
    Patterh, Manjeet Singh
    WIRELESS PERSONAL COMMUNICATIONS, 2013, 71 (02) : 1283 - 1296
  • [33] Pipe network system analysis using simulated annealing
    Yeh, Hund-Der
    Lin, Yu-Chung
    JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA, 2008, 57 (05): : 317 - 327
  • [34] An Adaptive Lighting System Using the Simulated Annealing Algorithm
    Grigore, Ovidiu
    Gavat, Inge
    Grigore, Corina
    Cotescu, Marius
    SMO 08: PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON SIMULATION, MODELLING AND OPTIMIZATION, 2008, : 142 - +
  • [35] Scheduling a log transport system using simulated annealing
    Haridass, Karunakaran
    Valenzuela, Jorge
    Yucekaya, Ahmet D.
    McDonald, Tim
    INFORMATION SCIENCES, 2014, 264 : 302 - 316
  • [36] Codebook design in vector quantisation using a hybrid system of parallel simulated annealing and evolutionary selection
    Delport, V
    ELECTRONICS LETTERS, 1996, 32 (13) : 1158 - 1160
  • [37] Aircraft Dynamically Similar Model Design using Simulated Annealing
    Shakoori, A.
    Mortazavi, M.
    Nobahari, H.
    AEROTECH IV: RECENT ADVANCES IN AEROSPACE TECHNOLOGIES, 2012, 225 : 323 - +
  • [38] Optimization of clinical trial design using simulated annealing (SA)
    Scott, G
    Peck, CC
    Sale, M
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 1997, 61 (02) : PI13 - PI13
  • [39] OPTIMUM DESIGN OF PNPN DOUBLE HETEROSTRUCTURES USING SIMULATED ANNEALING
    HARA, K
    IWAMOTO, T
    KYUMA, K
    JAPANESE JOURNAL OF APPLIED PHYSICS PART 2-LETTERS, 1993, 32 (1A-B): : L68 - L70
  • [40] Generating optimal configurations in structural design using simulated annealing
    Shim, PY
    Manoochehri, S
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 1997, 40 (06) : 1053 - 1069