LAND USE OPTIMIZATION THROUGH HARMONIC SEARCH META-HEURISTIC ALGORITHM (CASE STUDY: BABOLDASHT DISTRICT OF ISFAHAN)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SAHEBGHARANI ALIREZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH) Year:2018 | Volume:11 | Issue:41 Page(s): 93-114

Download Full-Text

Persian Verion

View:

1,201

Download:

Cites:

Information Journal Paper

Title

LAND USE OPTIMIZATION THROUGH HARMONIC SEARCH META-HEURISTIC ALGORITHM (CASE STUDY: BABOLDASHT DISTRICT OF ISFAHAN)

Author(s)

SAHEBGHARANI ALIREZA | Issue Writer Certificate

Keywords

HARMONIC SEARCH ALGORITHMQ1

GENETIC ALGORITHMQ2

LAND USE OPTIMIZATIONQ1

BABOLDASHT DISTRICT OF ISFAHANQ1

Abstract

Urban planning seeks to allocate the valuable and limited land resources among different land types. During this process various conflicting objectives are emerged and prepared, and land use planners should proffer land use layouts satisfying these kinds of objectives. Due to these facts, land use allocation is a multi-objective optimization problem that deals with a large set of data and variables and optimization methods have been developed to facilitate solving this kind of problem. As LAND USE OPTIMIZATION is a complex NP-hard problem, current exact methods are not able to solve such problem and LAND USE OPTIMIZATION relies on application of meta-heuristic algorithms. In this paper, a meta-heuristic algorithm is developed and applied based on HARMONIC SEARCH ALGORITHM for solving LAND USE OPTIMIZATION problem. In this paper, seven land types (residential, commercial, cultural, educational, medical, sport and green space) are allocated to 200 allocation cells with size 1000 m2 subject to compactness, compatibility and suitability maximization. The outputs of the HARMONIC SEARCH ALGORITHM were compared to a common population-based algorithm, GENETIC ALGORITHM. The results demonstrated that for the defined problem the HARMONIC SEARCH ALGORITHM was more acceptable than GENETIC ALGORITHM in terms of solution quality and algorithm efficiency. It was 98.9 percent faster than GENETIC ALGORITHM. The results also showed that the land use layouts achieved by both algorithms had been better than the current state of land use distribution. Thus, the cross-cutting method represented in this paper can be used as a useful tool in the hands of urban planners and decision makers, and supports the land use planning process.

Cites

No record.

References

No record.

Cite

APA: Copy

SAHEBGHARANI, ALIREZA. (2018). LAND USE OPTIMIZATION THROUGH HARMONIC SEARCH META-HEURISTIC ALGORITHM (CASE STUDY: BABOLDASHT DISTRICT OF ISFAHAN). ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH), 11(41 ), 93-114. SID. https://sid.ir/paper/130480/en

Vancouver: Copy

SAHEBGHARANI ALIREZA. LAND USE OPTIMIZATION THROUGH HARMONIC SEARCH META-HEURISTIC ALGORITHM (CASE STUDY: BABOLDASHT DISTRICT OF ISFAHAN). ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH)[Internet]. 2018;11(41 ):93-114. Available from: https://sid.ir/paper/130480/en

IEEE: Copy

ALIREZA SAHEBGHARANI, “LAND USE OPTIMIZATION THROUGH HARMONIC SEARCH META-HEURISTIC ALGORITHM (CASE STUDY: BABOLDASHT DISTRICT OF ISFAHAN),” ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH), vol. 11, no. 41 , pp. 93–114, 2018, [Online]. Available: https://sid.ir/paper/130480/en

Related Journal Papers