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Engineering Optimization Volume 47, 2015 - Issue 5
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Original Articles

Multi-objective optimization in spatial planning: Improving the effectiveness of multi-objective evolutionary algorithms (non-dominated sorting genetic algorithm II)

Spiros KarakostasDepartment of Planning & Regional Development, University of Thessaly, Volos, GreeceCorrespondence[email protected]
Pages 601-621 | Received 26 Sep 2013, Accepted 18 Mar 2014, Published online: 22 Apr 2014

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Sergio Wicki, Jonas Schwaab, Jan Perhac & Adrienne Grêt-Regamey. (2021) Participatory multi-objective optimization for planning dense and green cities. Journal of Environmental Planning and Management 64:14, pages 2532-2551.
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Jonas Schwaab, Kalyanmoy Deb, Erik Goodman, Sven Lautenbach, Maarten J. van Strien & Adrienne Grêt-Regamey. (2018) Improving the performance of genetic algorithms for land-use allocation problems. International Journal of Geographical Information Science 32:5, pages 907-930.
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Spiros M. Karakostas. (2017) Bridging the gap between multi-objective optimization and spatial planning: a new post-processing methodology capturing the optimum allocation of land uses against established transportation infrastructure. Transportation Planning and Technology 40:3, pages 305-326.
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Spiros M. Karakostas. (2016) Land-use planning via enhanced multi-objective evolutionary algorithms: optimizing the land value of major Greenfield initiatives. Journal of Land Use Science 11:5, pages 595-617.
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E. Sieni, P. Di Barba & M. Forzan. (2016) Migration NSGA: method to improve a non-elitist searching of Pareto front, with application in magnetics. Inverse Problems in Science and Engineering 24:4, pages 543-566.
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Articles from other publishers (12)

Haiping Ma, Yajing Zhang, Shengyi Sun, Ting Liu & Yu Shan. (2023) A comprehensive survey on NSGA-II for multi-objective optimization and applications. Artificial Intelligence Review.
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Zhenghui Fu, Yang Zhang, Shanshan He, Han Wang, Xia Jiang & Shuhang Wang. (2022) Multi-objective programming for economy–energy–environment system and policy mix with dual constraints of carbon emission and water consumption based on multi-scenario analysis. Energy Reports 8, pages 7884-7891.
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Guadalupe Azuara-García, Efrén Palacios & Pilar Montesinos-Barrios. (2022) Embedding sustainable land-use optimization within system dynamics: bidirectional feedback between spatial and non-spatial drivers. Environmental Modelling & Software 155, pages 105463.
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Shifa Ma, Yunnan Cai, Bin Ai, Dixiang Xie & Yabo Zhao. (2022) Delimiting the urban growth boundary for sustainable development with a pareto front degradation searching strategy based optimization model. Journal of Cleaner Production 345, pages 131191.
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Jiwei Qiu & Haisheng Luo. (2022) Multiobjective reliability-based design optimization approach using the gray system and evidence theory. Journal of Mechanical Science and Technology 36:4, pages 1789-1797.
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Hongjiang Liu, Fengying Yan & Hua Tian. (2022) Towards low-carbon cities: Patch-based multi-objective optimization of land use allocation using an improved non-dominated sorting genetic algorithm-II. Ecological Indicators 134, pages 108455.
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Md. Mostafizur Rahman & György Szabó. (2021) Multi-objective urban land use optimization using spatial data: A systematic review. Sustainable Cities and Society 74, pages 103214.
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Károly Jármai, Csaba Barcsák & Gábor Zoltán Marcsák. (2021) A Box-Girder Design Using Metaheuristic Algorithms and Mathematical Test Functions for Comparison. Applied Mechanics 2:4, pages 891-910.
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Muhammad Yousaf Khan, Mudassar Ali, Saad Qaisar, Muhammad Naeem, Chrysostomos Chrysostomou & Muhammad Iqbal. (2020) Placement Optimization for Renewable Energy Sources: Ontology, Tools, and Wake Models. IEEE Access 8, pages 72781-72800.
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Guadalupe Azuara García, Efrén Palacios Rosas, Alfonso García-Ferrer & Pilar Montesinos Barrios. (2017) Multi-Objective Spatial Optimization: Sustainable Land Use Allocation at Sub-Regional Scale. Sustainability 9:6, pages 927.
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Jielin Li & Ming Chen. (2016) Multiobjective Topology Optimization Based on Mapping Matrix and NSGA-II for Switched Industrial Internet of Things. IEEE Internet of Things Journal 3:6, pages 1235-1245.
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Paolo Di Barba, Fabrizio Dughiero, Michele Forzan & Elisabetta Sieni. (2016) Migration-corrected NSGA-II for improving multiobjective design optimization in electromagnetics. International Journal of Applied Electromagnetics and Mechanics 51:2, pages 161-172.
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