연구정보
[지역] Water distribution systems design optimisation using metaheuristics and hyperheuristics
아프리카ㆍ 중동 일반 국외연구자료 학술논문 DN Raad, A Sinske, JH van Vuuren ORiON 발간일 : 2011-12-31 등록일 : 2018-06-15 원문링크
The topic of multi-objective water distribution systems (WDS) design optimisation using metaheuristics is investigated, comparing numerous modern metaheuristics, including sev- eral multi-objective evolutionary algorithms, an estimation of distribution algorithm and a recent hyperheuristic named AMALGAM (an evolutionary framework for the simultaneous incorporation of multiple metaheuristics), in order to determine which approach is most capa- ble with respect to WDS design optimisation. Novel metaheuristics and variants of existing algorithms are developed, for a total of twenty-three algorithms examined. Testing with re- spect to eight small-to-large-sized WDS benchmarks from the literature reveal that the four top-performing algorithms are mutually non-dominated with respect to the various perfor- mance metrics used. These algorithms are NSGA-II, TAMALGAMJndu , TAMALGAMndu and AMALGAMSndp (the last three being novel variants of AMALGAM). However, when these four algorithms are applied to the design of a very large real-world benchmark, the AMALGAM paradigm outperforms NSGA-II convincingly, with AMALGAMSndp exhibiting the best performance overall.
본 페이지에 등재된 자료는 운영기관(KIEP) 및 AIF의 공식적인 입장을 대변하고 있지 않습니다.
이전글 | [무역] Modelling the South African fruit export infrastructure: A case study | 2018-06-15 |
---|---|---|
다음글 | [안보] Real-time threat evaluation in a ground based air defence environment | 2018-06-15 |