Multi-Objective Optimization Methods for University Campus Planning and Design—A Case Study of Dalian University of Technology Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.3390/buildings15142551
This study focuses on the multi-objective coordination problem in university campus planning and design, proposing an optimized methodology integrating an improved multi-objective decision-making framework. A five-dimensional objective system—comprising energy efficiency, spatial quality, economic cost, ecological benefits, and cultural expression—was established, alongside the identification and standardization of 29 key variables to construct mapping relationships among objective functions. On the algorithmic level, an adapted NSGA-III was implemented on the MATLAB platform (version R2022b), introducing a dynamic reference point mechanism and hybrid constraint-handling strategy to enhance convergence and solution diversity. Taking the northern residential area of the western campus of Dalian University of Technology as a case study, multiple Pareto-optimal solutions were generated. Five representative alternatives were selected and evaluated through the AHP–TOPSIS method to determine the optimal scheme. The results indicated significant improvements in energy, economic, spatial, and ecological dimensions, while also achieving quantifiable control over cultural expression. On this basis, an integrated optimization strategy targeting “form–function–environment–culture” was proposed, offering data-informed support and procedural reference for systematic campus planning. This study demonstrates the effectiveness, adaptability, and practical value of the proposed approach in addressing multi-objective conflicts in university planning.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/buildings15142551
- https://www.mdpi.com/2075-5309/15/14/2551/pdf?version=1753086396
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https://openalex.org/W4412515189Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/buildings15142551Digital Object Identifier
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Multi-Objective Optimization Methods for University Campus Planning and Design—A Case Study of Dalian University of TechnologyWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-07-19Full publication date if available
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Lin Qi, Chaoran Chen, Jun DongList of authors in order
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https://doi.org/10.3390/buildings15142551Publisher landing page
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https://www.mdpi.com/2075-5309/15/14/2551/pdf?version=1753086396Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2075-5309/15/14/2551/pdf?version=1753086396Direct OA link when available
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Engineering management, Engineering, University campus, Computer science, Systems engineering, Architectural engineeringTop concepts (fields/topics) attached by OpenAlex
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| abstract_inverted_index.construct | 50 |
| abstract_inverted_index.determine | 122 |
| abstract_inverted_index.economic, | 133 |
| abstract_inverted_index.evaluated | 116 |
| abstract_inverted_index.indicated | 128 |
| abstract_inverted_index.mechanism | 76 |
| abstract_inverted_index.objective | 26, 54 |
| abstract_inverted_index.optimized | 16 |
| abstract_inverted_index.planning. | 166, 186 |
| abstract_inverted_index.practical | 174 |
| abstract_inverted_index.proposed, | 156 |
| abstract_inverted_index.proposing | 14 |
| abstract_inverted_index.reference | 74, 162 |
| abstract_inverted_index.solutions | 107 |
| abstract_inverted_index.targeting | 153 |
| abstract_inverted_index.variables | 48 |
| abstract_inverted_index.Technology | 100 |
| abstract_inverted_index.University | 98 |
| abstract_inverted_index.addressing | 181 |
| abstract_inverted_index.diversity. | 86 |
| abstract_inverted_index.ecological | 34, 136 |
| abstract_inverted_index.framework. | 23 |
| abstract_inverted_index.functions. | 55 |
| abstract_inverted_index.generated. | 109 |
| abstract_inverted_index.integrated | 150 |
| abstract_inverted_index.procedural | 161 |
| abstract_inverted_index.systematic | 164 |
| abstract_inverted_index.university | 9, 185 |
| abstract_inverted_index.algorithmic | 58 |
| abstract_inverted_index.convergence | 83 |
| abstract_inverted_index.dimensions, | 137 |
| abstract_inverted_index.efficiency, | 29 |
| abstract_inverted_index.expression. | 145 |
| abstract_inverted_index.implemented | 64 |
| abstract_inverted_index.integrating | 18 |
| abstract_inverted_index.introducing | 71 |
| abstract_inverted_index.methodology | 17 |
| abstract_inverted_index.residential | 90 |
| abstract_inverted_index.significant | 129 |
| abstract_inverted_index.AHP–TOPSIS | 119 |
| abstract_inverted_index.alternatives | 112 |
| abstract_inverted_index.coordination | 6 |
| abstract_inverted_index.demonstrates | 169 |
| abstract_inverted_index.established, | 39 |
| abstract_inverted_index.improvements | 130 |
| abstract_inverted_index.optimization | 151 |
| abstract_inverted_index.quantifiable | 141 |
| abstract_inverted_index.adaptability, | 172 |
| abstract_inverted_index.data-informed | 158 |
| abstract_inverted_index.relationships | 52 |
| abstract_inverted_index.Pareto-optimal | 106 |
| abstract_inverted_index.effectiveness, | 171 |
| abstract_inverted_index.identification | 42 |
| abstract_inverted_index.representative | 111 |
| abstract_inverted_index.decision-making | 22 |
| abstract_inverted_index.multi-objective | 5, 21, 182 |
| abstract_inverted_index.standardization | 44 |
| abstract_inverted_index.expression—was | 38 |
| abstract_inverted_index.five-dimensional | 25 |
| abstract_inverted_index.constraint-handling | 79 |
| abstract_inverted_index.system—comprising | 27 |
| abstract_inverted_index.“form–function–environment–culture” | 154 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5037690778 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I27357992 |
| citation_normalized_percentile.value | 0.2927695 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |