{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:52:00Z","timestamp":1760709120357,"version":"build-2065373602"},"reference-count":18,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2016,7,30]],"date-time":"2016-07-30T00:00:00Z","timestamp":1469836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>This paper is concerned with the application of computational intelligence techniques to the conceptual design and development of a large-scale floating settlement. The settlement in question is a design for the area of Urla, which is a rural touristic region located on the west coast of Turkey, near the metropolis of Izmir. The problem at hand includes both engineering and architectural aspects that need to be addressed in a comprehensive manner. We thus adapt the view as a multi-objective constrained real-parameter optimization problem. Specifically, we consider three objectives, which are conflicting. The first one aims at maximizing accessibility of urban functions such as housing and public spaces, as well as special functions, such as a marina for yachts and a yacht club. The second one aims at ensuring the wind protection of the general areas of the settlement, by adequately placing them in between neighboring land masses. The third one aims at maximizing visibility of the settlement from external observation points, so as to maximize the exposure of the settlement. To address this complex multi-objective optimization problem and identify lucrative alternative design solutions, a multi-objective harmony search algorithm (MOHS) is developed and applied in this paper. When compared to the Differential Evolution algorithm developed for the problem in the literature, we demonstrate that MOHS achieves competitive or slightly better performance in terms of hyper volume calculation, and gives promising results when the Pareto front approximation is examined.<\/jats:p>","DOI":"10.3390\/a9030051","type":"journal-article","created":{"date-parts":[[2016,8,3]],"date-time":"2016-08-03T03:47:39Z","timestamp":1470196059000},"page":"51","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["A Multi-Objective Harmony Search Algorithm for Sustainable Design of Floating Settlements"],"prefix":"10.3390","volume":"9","author":[{"given":"Cemre","family":"Cubukcuoglu","sequence":"first","affiliation":[{"name":"Department of Interior Architecture and Environmental Design, Yasar University, Izmir 35100, Turkey"}]},{"given":"Ioannis","family":"Chatzikonstantinou","sequence":"additional","affiliation":[{"name":"Department of Architecture, Yasar University, Izmir 35100, Turkey"},{"name":"Faculty of Architecture, Delft University of Technology, Delft 2600, The Netherlands"}]},{"given":"Mehmet","family":"Tasgetiren","sequence":"additional","affiliation":[{"name":"Industrial Engineering Department, Yasar University, Izmir 35100, Turkey"}]},{"given":"I.","family":"Sariyildiz","sequence":"additional","affiliation":[{"name":"Department of Architecture, Yasar University, Izmir 35100, Turkey"},{"name":"Faculty of Architecture, Delft University of Technology, Delft 2600, The Netherlands"}]},{"given":"Quan-Ke","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Industrial and Manufacturing System Engineering, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China"}]}],"member":"1968","published-online":{"date-parts":[[2016,7,30]]},"reference":[{"key":"ref_1","unstructured":"Tartar, A. (2012). Floating Architecture Design Process Modelling Supported by Rule-Based Decision-Making. [Ph.D. Thesis, \u0130stanbul Technical University]."},{"key":"ref_2","unstructured":"De Graaf, R.E. (2009). Innovations in Urban Water Management to Reduce the Vulnerability of Cities: Feasibility, Case Studies and Governance. [Ph.D. Thesis, Delft University of Technology]."},{"key":"ref_3","unstructured":"Watanabe, E., Wang, M., Utsunomiya, T., and Moan, T. Very Large Floating Structures: Application, Analysis and Design, Available online: http:\/\/www.eng.nus.edu.sg\/core\/Report%20200402.pdf."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Kirimtat, A., Chatzikonstantinou, I., Sariyildiz, S., and Tartar, A. (2015, January 25\u201328). Designing self-sufficient floating neighborhoods using computational decision support. Proceedings of the 2015 IEEE Congress on Evolutionary Computation, Sendai, Japan.","DOI":"10.1109\/CEC.2015.7257164"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","article-title":"Differential evolution\u2014A simple and efficient heuristic for global optimization over continuous spaces","volume":"11","author":"Storn","year":"1997","journal-title":"J. Glob. Optim."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1109\/TEVC.2006.872133","article-title":"Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems","volume":"10","author":"Brest","year":"2006","journal-title":"IEEE Trans. Evol. Comput."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Ugurlu, C., Chatzikonstantinou, I., Sariyildiz, S., and Tasgetiren, M.F. (2015, January 25\u201328). Identification of sustainable designs for floating settlements using computational design techniques. Proceedings of the 2015 IEEE Congress on Evolutionary Computation, Sendai, Japan.","DOI":"10.1109\/CEC.2015.7257169"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1177\/003754970107600201","article-title":"A new heuristic optimization algorithm: Harmony search","volume":"76","author":"Geem","year":"2001","journal-title":"Simulation"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3902","DOI":"10.1016\/j.cma.2004.09.007","article-title":"A new meta-heuristic algorithm for continuous engineering optimization: Harmony search theory and practice","volume":"194","author":"Lee","year":"2005","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1061\/(ASCE)CO.1943-7862.0000167","article-title":"Multiobjective optimization of time-cost trade-off using harmony search","volume":"136","author":"Geem","year":"2010","journal-title":"J. Constr. Eng. Manag."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3613","DOI":"10.3390\/w7073613","article-title":"Multiobjective optimization of water distribution networks using fuzzy theory and harmony search","volume":"7","author":"Geem","year":"2015","journal-title":"Water"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","article-title":"A fast and elitist multi-objective genetic algorithm: NSGA-II","volume":"6","author":"Deb","year":"2002","journal-title":"Evolut. Comput."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1818","DOI":"10.1016\/j.engappai.2013.05.008","article-title":"A survey on applications of the harmony search algorithm","volume":"26","author":"Manjarres","year":"2013","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_14","unstructured":"McNeel, R. Grasshopper 3D. Available online: www.grasshopper3d.com."},{"key":"ref_15","unstructured":"McNeel, R. Rhinoceros 3D. Available online: www.rhino3d.com."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"992","DOI":"10.1016\/j.ress.2005.11.018","article-title":"Multi-objective optimization using genetic algorithms: A tutorial","volume":"91","author":"Konak","year":"2006","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_17","unstructured":"Goldberg, D.E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1162\/EVCO_a_00009","article-title":"HypE: An algorithm for fast hypervolume-based many-objective optimization","volume":"19","author":"Bader","year":"2011","journal-title":"Evolut. 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