Multi-Directional Maximum-Entropy Approach to the Evolutionary Design Optimization of Water Distribution Systems

被引：15
作者：
Saleh, Salah [1 ,2 ]
Tanyimboh, Tiku T. [1 ]
机构：
[1] Univ Strathclyde, Dept Civil & Environm Engn, Level 5,James Weir Bldg,75 Montrose St, Glasgow G1 1XJ, Lanark, Scotland
[2] Univ Tripoli, Dept Civil Engn, Al Furnaj Rd, Tripoli, Libya
来源：
WATER RESOURCES MANAGEMENT | 2016年 / 30卷 / 06期
基金：
英国工程与自然科学研究理事会;
关键词：
Maximum flow entropy; Hydraulic reliability and redundancy; Water distribution system; Demand driven analysis; Head driven analysis; Penalty-free constrained evolutionary optimization; HYDRAULIC RELIABILITY; GENETIC ALGORITHMS; EPANET; FLOWS; RESILIENCE; LAYOUT;
D O I：
10.1007/s11269-016-1253-6
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
A new multi-directional search approach that aims at maximizing the flow entropy of water distribution systems is investigated. The aim is to develop an efficient and practical maximum entropy based approach. The resulting optimization problem has four objectives, and the merits of objective reduction in the computational solution of the problem are investigated also. The relationship between statistical flow entropy and hydraulic reliability/failure tolerance is not monotonic. Consequently, a large number of maximum flow entropy solutions must be investigated to strike a balance between cost and hydraulic reliability. A multi-objective evolutionary optimization model is developed that generates simultaneously a wide range of maximum entropy values along with clusters of maximum and near-maximum entropy solutions. Results for a benchmark network and a real network in the literature are included that demonstrate the effectiveness of the procedure.
引用
收藏
页码：1885 / 1901
页数：17
相关论文
共 50 条
[21]   Penalty-Free Feasibility Boundary Convergent Multi-Objective Evolutionary Algorithm for the Optimization of Water Distribution Systems [J].
Calvin Siew ;
Tiku T. Tanyimboh .
Water Resources Management, 2012, 26 :4485-4507
[22]   Network Subsystems for Robust Design Optimization of Water Distribution Systems [J].
Hayelom, Assefa ;
Ostfeld, Avi .
WATER, 2022, 14 (15)
[23]   An efficient hybrid approach for multiobjective optimization of water distribution systems [J].
Zheng, Feifei ;
Simpson, Angus R. ;
Zecchin, Aaron C. .
WATER RESOURCES RESEARCH, 2014, 50 (05) :3650-3671
[24]   Multi objective approach for leakage reduction in water distribution systems [J].
Magini, R. ;
Pallavicini, I. ;
Verde, D. .
WATER RESOURCES MANAGEMENT IV, 2007, 103 :625-+
[25]   Designing resilient and economically viable water distribution systems: A Multi-dimensional approach [J].
Cassottana B. ;
Balakrishnan S. ;
Aydin N.Y. ;
Sansavini G. .
Resilient Cities and Structures, 2023, 2 (03) :19-29
[26]   Optimal design of water distribution networks using simple modified particle swarm optimization approach [J].
Moghaddam, Alireza ;
Alizadeh, Amin ;
Faridhosseini, Alireza ;
Ziaei, Ali Naghi ;
Heravi, Danial Fallah .
DESALINATION AND WATER TREATMENT, 2018, 104 :99-110
[27]   MULTI-CRITERIA OPTIMIZATION OF PROCESS PLANS FOR RECONFIGURABLE MANUFACTURING SYSTEMS: AN EVOLUTIONARY APPROACH [J].
Zahid, Taiba ;
Baqai, Aamer A. .
PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2013, VOL 2B, 2013,
[28]   Multiobjective Evolutionary Computation Approach for Redesigning Water Distribution Systems to Provide Fire Flows [J].
Kanta, Lufthansa ;
Zechman, Emily ;
Brumbelow, Kelly .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2012, 138 (02) :144-152
[29]   Coupled multi-objective optimization of water distribution network design and partitioning: a spectral graph-theory approach [J].
Riyahi, Mohammad Mehdi ;
Giudicianni, Carlo ;
Haghighi, Ali ;
Creaco, Enrico .
URBAN WATER JOURNAL, 2024, :745-756
[30]   MULTI-OBJECTION OPTIMIZATION MODEL BASED ON RELIABILITY FOR WATER DISTRIBUTION SYSTEMS [J].
Hasan Yousef ;
Xu ZuxinSchool of Envronment Engineering Tongji University Shanghai P R China .
Journal of Hydrodynamics(SerB)., 1999, (02) :63-70
12345