Ayca KirimtatIoannis ChatzikonstantinouI. Sevil SariyildizAyca Tartar2025-10-062015978147997492410.1109/CEC.2015.7257164https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963541103&doi=10.1109%2FCEC.2015.7257164&partnerID=40&md5=31051e8aea2a92d9f611131f717a78dchttps://gcris.yasar.edu.tr/handle/123456789/9879Floating settlements which introduce further design complexities over traditional developments have become an alternative for urban development due to climate change and shortage of land. This study aims to develop a floating settlement concept that presents an approach to the design of floating neighborhoods using parametric modelling techniques in combination with Intelligent Decision Support tools and optimization methods. Optimization results of two algorithms namely NSGA-II and DE are compared regarding to objectives. The objectives considered in this study are walkability within the neighborhoods scenic view and cost-effectiveness. Results suggest that DE performs better than NSGA-II in this problem. An application of the method is presented focusing on the design of floating neighborhoods in the project area namely Urla which is a seaside place along the coastline of Izmir Turkey. © 2017 Elsevier B.V. All rights reserved.EnglishComputational Decision Support, Evolutionary Algorithms, Floating Neighborhoods, Multi-objective Optimization, Parametric Modelling, Climate Change, Cost Effectiveness, Evolutionary Algorithms, Multiobjective Optimization, Optimization, Urban Growth, Decision Supports, Design Complexity, Floating Neighborhoods, Intelligent Decision Support Tools, Nsga-ii, Optimization Method, Parametric Modelling, Urban Development, Decision Support SystemsClimate change, Cost effectiveness, Evolutionary algorithms, Multiobjective optimization, Optimization, Urban growth, Decision supports, Design complexity, floating neighborhoods, Intelligent decision support tools, NSGA-II, Optimization method, Parametric modelling, Urban development, Decision support systemsConference Object