지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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In terms of waste load allocation, inequality of waste load discharge must be considered as well as economic aspects such as minimization of waste load abatement. The inequality of waste load discharge between areas was calculated with Gini coefficient and was included as one of the objective functions of the multi-objective waste load allocation. In the past, multi-objective functions were usually weighted and then transformed into a single objective optimization problem. Recently, however, due to the difficulties of applying weighting factors, multi-objective genetic algorithms (GA) that require only one execution for optimization is being developed. This study analyzes multi-objective waste load allocation using NSGA-II-aJG that applies Pareto-dominance theory and it's adaptation of jumping gene. A sensitivity analysis was conducted for the parameters that have significant influence on the solution of multi-objective GA such as population size, crossover probability, mutation probability, length of chromosome, jumping gene probability. Among the five aforementioned parameters, mutation probability turned out to be the most sensitive parameter towards the objective function of minimization of waste load abatement. Spacing and maximum spread are indexes that show the distribution and range of optimum solution, and these two values were the optimum or near optimal values for the selected parameter values to minimize waste load abatement.
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참고문헌 (23)
참고문헌 신청
Bhat, S. A. / 2006 / On-line optimizing control of bulk free radical polymerization reactors under temporary loss of temperature regulation: experimental study on a 1-L batc
Boisvert R. N. / 1991 / The budgetary implications of reducing U.S. income inequality through income transfer programs
Cho, J. H. / 2004 / A river water quality management model for regional wastewater treatment cost using a genetic algorithm / Journal of Environmental Management 73 : 229 ~
Copal, N. R. / 2011 / Cost analysis for removal of VOC from water by pervaporation using NSGA-II / Desalination 274 : 212 ~ 219
Deb K. / 2001 / Multi-objective optimization using evolutionary algorithms / Wiley
Boisvert R. N. / 1991 / The budgetary implications of reducing U.S. income inequality through income transfer programs
Cho, J. H. / 2004 / A river water quality management model for regional wastewater treatment cost using a genetic algorithm / Journal of Environmental Management 73 : 229 ~
Copal, N. R. / 2011 / Cost analysis for removal of VOC from water by pervaporation using NSGA-II / Desalination 274 : 212 ~ 219
Deb K. / 2001 / Multi-objective optimization using evolutionary algorithms / Wiley
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