Application of Self-adaptive Vision-Correction Algorithm for Water-Distribution Problem

2021 ◽  
Vol 25 (3) ◽  
pp. 1106-1115
Author(s):  
Eui Hoon Lee
Keyword(s):  
Water Distribution ◽  
Correction Algorithm ◽  
Distribution Problem ◽  
Vision Correction ◽  
Self Adaptive

scholarly journals Game Theory Applications in a Water Distribution Problem

2013 ◽  
Vol 05 (01) ◽  
pp. 91-96 ◽  
Author(s):  
Ardeshir Ahmadi ◽  
Raquel Salazar Moreno
Keyword(s):  
Game Theory ◽  
Water Distribution ◽  
Distribution Problem

Self‐Adaptive Calibration of Real‐Time Demand and Roughness of Water Distribution Systems

2018 ◽  
Vol 54 (8) ◽  
pp. 5536-5550 ◽  
Author(s):  
Xiao Zhou ◽  
Weirong Xu ◽  
Kunlun Xin ◽  
Hexiang Yan ◽  
Tao Tao
Keyword(s):  
Real Time ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Adaptive Calibration ◽  
Self Adaptive

Vision correction algorithm applied in high precision mounter

2018 ◽  
Vol 39 (1) ◽  
pp. 98-102
Author(s):  
Xi Wei ◽  
Chen Guangfeng ◽  
Guan Guanyang
Keyword(s):  
High Precision ◽  
Correction Algorithm ◽  
Vision Correction

Self-adaptive multi-objective harmony search for optimal design of water distribution networks

2017 ◽  
Vol 49 (11) ◽  
pp. 1957-1977 ◽  
Author(s):  
Young Hwan Choi ◽  
Ho Min Lee ◽  
Do Guen Yoo ◽  
Joong Hoon Kim
Keyword(s):  
Optimal Design ◽  
Water Distribution ◽  
Harmony Search ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Multi Objective ◽  
Self Adaptive

scholarly journals Self-Adaptive Models for Water Distribution System Design Using Single-/Multi-Objective Optimization Approaches

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1293 ◽  
Author(s):  
Choi ◽  
Kim
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Mathematical Problem ◽  
Benchmark Problems ◽  
Future Research ◽  
Multi Objective Optimization ◽  
Adaptive Approach ◽  
Multi Objective ◽  
Self Adaptive

This study compares the performance of self-adaptive optimization approaches in efficient water distribution systems (WDS) design and presents a guide for the selection of the appropriate method employing optimization utilizing the characteristic of each technique formulation. To this end, this study performs three types of analyses. First, the sensitivity analysis of each self-adaptive approach is conducted on single/multi-objective mathematical benchmark problems with various problem types (e.g., using solution shape or many local optimal solutions). Second, based on the applications and results of the mathematical problem, the performance of the algorithm is verified in the WDS design problem considering the minimum cost and the maximum system resilience under the single/multi-objective optimization framework. Third, the characteristics of search operators in the self-adaptive approach are compared according to the presence or absence of additional parameters and operators. Moreover, various performance indices are employed to compare the quantitative evaluation of each algorithm. Each algorithm is found to exhibit different characteristics depending on the problem scale and solution type. These results are expected to benefit future research in the formulation of new approaches and developments. Hence, this study provides rigorous testing of the performance of newly proposed algorithms in a highly simplified manner.

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