Generating Alternative Land‐use Allocation for Mixed Use Areas: Multi‐Objective Optimization Approach

2018 ◽  
Vol 51 (4) ◽  
pp. 448-474 ◽  
Author(s):  
Nusrat Sharmin ◽  
Afsana Haque ◽  
Md. Monirul Islam
Keyword(s):  
Land Use ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Land Use Allocation ◽  
Mixed Use

Spatial Multi-Objective Optimization Approach for Land Use Allocation Using NSGA-II

2014 ◽  
Vol 7 (3) ◽  
pp. 906-916 ◽  
Author(s):  
Mehran Shaygan ◽  
Abbas Alimohammadi ◽  
Ali Mansourian ◽  
Zohreh Shams Govara ◽  
S. Mostapha Kalami
Keyword(s):  
Land Use ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective ◽  
Land Use Allocation

Constraints in multi-objective optimization of land use allocation – Repair or penalize?

2019 ◽  
Vol 118 ◽  
pp. 241-251 ◽  
Author(s):  
Michael Strauch ◽  
Anna F. Cord ◽  
Carola Pätzold ◽  
Sven Lautenbach ◽  
Andrea Kaim ◽  
...  
Keyword(s):  
Land Use ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Land Use Allocation

scholarly journals LAND-USE PLANNING FOR SUSTAINABLE URBAN DEVELOPMENT IN AFRICA: A SPATIAL AND MULTI-OBJECTIVE OPTIMIZATION APPROACH

2019 ◽  
Vol 45 (5) ◽  
pp. 1-15 ◽  
Author(s):  
Alex Lubida ◽  
Mozafar Veysipanah ◽  
Petter Pilesjo ◽  
Ali Mansourian
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Geographical Information ◽  
Sustainable Urban Development ◽  
Optimization Approach ◽  
Objective Functions ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective ◽  
The City

Land-use planning, which requires finding a balance among different conflicting social, economic and environment factors, is a complex task needed everywhere, including Africa. One example is the city of Zanzibar in Tanzania, which is under special consideration for land-use revision. From one side, the city has high potentials for tourist industry and at the other side there are major challenges with the city structure and poor accessibilities. In order to prepare a proper land-use plan for the city, a variety of influencing conflicting factors needs to be considered and satisfied. This can be regarded as a common problem in many African cities, which are under development. This paper aims to address the problem by proposing and demonstrating the use of Geographical Information System (GIS) and multi-objective optimization for land-use planning, in Zanzibar as a case study. The measures which have been taken by Zanzibar government to address the development challenges through the Zanzibar Strategy for Growth and Reduction of Poverty (ZSGRP) were identified by studying related documents and interviewing experts. Based on these, two objective functions were developed for land-use planning. Optimum base land-use plans were developed and mapped by optimizing the objective functions using the NSGA-II algorithm. The results show that the proposed approach and outputs can considerably facilitate land-use planning in Zanzibar. Similar approaches are highly recommended for other cities in Africa which are under development.

scholarly journals Urban Land-Use Allocation By A Cell-based Multi-Objective Optimization Algorithm

2019 ◽  
Vol 6 (4) ◽  
pp. 163-186
Author(s):  
Jamshid Maleki ◽  
Farshad Hakimpour ◽  
Zohreh Masoumi ◽  
◽  
◽  
...  
Keyword(s):  
Land Use ◽  
Optimization Algorithm ◽  
Urban Land ◽  
Urban Land Use ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Land Use Allocation ◽  
A Cell

scholarly journals Multi-Objective Optimization of the Spatial Structure and Layout of the Protected Area Based on Ecosystem Services: A Case Study of the Yellow River’s Headwaters Region in the Three-River-Source National Park

2021 ◽  
Author(s):  
LIU Menghao ◽  
XI Jianchao
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Spatial Structure ◽  
Protected Areas ◽  
Protected Area ◽  
National Park ◽  
Multi Objective Optimization ◽  
Allocation Model ◽  
Multi Objective ◽  
Land Use Allocation

The optimization of the spatial structure and layout is to determine an optimal and cost-effective land-use allocation plan for protected areas. The key goal is to maximizing the value of ecosystem services. This paper establishes a framework for optimizing the spatial structure and layout of the protected area based on ecosystem services. With the objective of maximizing the value of ecosystem services, it uses the CoMOLA (Constrained Multi-objective Optimization of Land-use Allocation) model for multi-objective optimization under the constraints of area and conversion rules. Taking the Yellow River’s headwaters region in the Three-River-Source (Sanjiangyuan) National Park as the study area, this paper uses the data of the year 2015 as a benchmark, and obtains the optimization results of the study area by 2035. The results show that the total value of ecosystem services of the Yellow River’s headwaters region after optimization will reach RMB [Formula: see text], with a total increase of RMB [Formula: see text] (8.47%). The land covers that contribute most to the value of ecosystem services are rivers, lakes and wetlands (51.55%), and grasslands (40.71%). Among the various types of ecosystem services, the value of provisioning services will increase by RMB [Formula: see text], regulating services by RMB [Formula: see text], supporting services by RMB [Formula: see text], and cultural services by RMB [Formula: see text]. The research results can provide a scientific basis for the spatial optimization of protected areas and the management of national parks.

scholarly journals Multi-Objective Multidisciplinary Design Optimization of a Robotic Fish System

2021 ◽  
Vol 9 (5) ◽  
pp. 478
Author(s):  
Hao Chen ◽  
Weikun Li ◽  
Weicheng Cui ◽  
Ping Yang ◽  
Linke Chen
Keyword(s):  
Design Optimization ◽  
Optimization Algorithm ◽  
Multidisciplinary Design Optimization ◽  
Robotic Fish ◽  
Multidisciplinary Design ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Cfd Method ◽  
The Individual

Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines. The design of robotic fish is a multi-objective multidisciplinary design optimization problem. However, the research on the design optimization of robotic fish is rare. In this paper, by combining an efficient multidisciplinary design optimization approach and a novel multi-objective optimization algorithm, a multi-objective multidisciplinary design optimization (MMDO) strategy named IDF-DMOEOA is proposed for the conceptual design of a three-joint robotic fish system. In the proposed IDF-DMOEOA strategy, the individual discipline feasible (IDF) approach is adopted. A novel multi-objective optimization algorithm, disruption-based multi-objective equilibrium optimization algorithm (DMOEOA), is utilized as the optimizer. The proposed MMDO strategy is first applied to the design optimization of the robotic fish system, and the robotic fish system is decomposed into four disciplines: hydrodynamics, propulsion, weight and equilibrium, and energy. The computational fluid dynamics (CFD) method is employed to predict the robotic fish’s hydrodynamics characteristics, and the backpropagation neural network is adopted as the surrogate model to reduce the CFD method’s computational expense. The optimization results indicate that the optimized robotic fish shows better performance than the initial design, proving the proposed IDF-DMOEOA strategy’s effectiveness.

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