Improving the Quality of Pareto Optimal Solutions in Water Distribution Network Design

  • Choi, Young Hwan; 
  • Jung, Donghwi; 
  • Lee, Ho Min; 
  • Yoo, Do Guen; 
  • Kim, Joong Hoon
Citations

WEB OF SCIENCE

10
Citations

SCOPUS

14

초록

This paper proposes five methods for improving the quality of Pareto optimal solutions of multiobjective optimal water distribution network (WDN) design problems: (1) three warm initial solution methods, (2) the postoptimization method, and (3) the guided-search method. The five methods were demonstrated through resilience-based design of the Hanoi network. The guided-search method, considering the reasonable range of decision variables, was identified as the best method with respect to the nondomination and diversity of the obtained Pareto solutions. Then, the effect of considering known initial solutions (e.g., least-cost solutions obtained from single-objective optimal design) on the final Pareto solution quality was investigated using the guided-search method. Finally, the guided-search method was compared with five multiobjective optimization algorithms widely used in the WDN research community through the resilience-based design of well-known benchmark WDNs (i.e., two-loop, Hanoi, Balerma, and P-city). (C) 2017 American Society of Civil Engineers.

키워드

MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS; DISTRIBUTION-SYSTEMS; GENETIC ALGORITHMS; OPTIMIZATION; DECOMPOSITION; SEARCH; REDUCTION
제목
Improving the Quality of Pareto Optimal Solutions in Water Distribution Network Design
저자
Choi, Young Hwan; Jung, Donghwi; Lee, Ho Min; Yoo, Do Guen; Kim, Joong Hoon
DOI
10.1061/(ASCE)WR.1943-5452.0000785
발행일
2017-08
유형
Article
저널명
Journal of Water Resources Planning and Management - ASCE
권
143
호
8