2023
DOI: 10.1016/j.seta.2022.102934
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Novel issues for urban energy-saving management: Renewal of leftover space

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Cited by 5 publications
(2 citation statements)
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“…Te NSGA-II algorithm fnds the Pareto solution set by a fast nondominated ranking and then selects the better individuals in the iteration according to the ranking to participate in the crossover variation to fnd the Pareto optimal solution to the solution problem. Te algorithm applied in this research is an improved NSGA-II algorithm based on a previous research [36]. To explain this algorithm in more detail, the individual chromosomes are coded in natural numbers, and the assignment scheme represented by each individual is a feasible solution to the problem.…”
Section: Algorithmsmentioning
confidence: 99%
“…Te NSGA-II algorithm fnds the Pareto solution set by a fast nondominated ranking and then selects the better individuals in the iteration according to the ranking to participate in the crossover variation to fnd the Pareto optimal solution to the solution problem. Te algorithm applied in this research is an improved NSGA-II algorithm based on a previous research [36]. To explain this algorithm in more detail, the individual chromosomes are coded in natural numbers, and the assignment scheme represented by each individual is a feasible solution to the problem.…”
Section: Algorithmsmentioning
confidence: 99%
“…A hybrid design approach, asking residents associated with open spaces about their opinions on cleanliness, planting, and neighborhood interaction was used to promote positive changes in leftover spaces in a bottom-up approach [8]. However, existing studies lack a top-down potential assessment of leftover spaces in communities, and the introduction of new computer technology is only at the theoretical level [9], which can lead to a less objective, rational, and comprehensive assessment of the spaces.…”
Section: Introductionmentioning
confidence: 99%