Sustainable Construction Through Utilization of Optimization Tools and Experimental Methods: 2nd Edition
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 140
Special Issue Editors
Interests: civil engineering; construction management; project scheduling; optimization; mathematical programming; mixed-integer nonlinear programming
Special Issues, Collections and Topics in MDPI journals
Interests: civil engineering; structural design; computational methods; optimization; mathematical programming; mixed-integer nonlinear programming
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue of Sustainability is dedicated to the latest developments in the field of sustainable construction through the utilization of optimization tools and experimental methods. In this context, submissions of original scientific works, as well as review papers coping with contemporary topics related to economic viability, social equity, and environmental protection that arise at any phase of a construction project, are welcome.
On the one hand, this Special Issue aims to publish influential and innovative articles that deal with the challenges of construction sustainability through the usage of optimization tools that involve either exact mathematical programming or meta/hyper/bio-heuristics, alternatively hybrid approaches or multi-criteria decision-making techniques. On the other hand, field or laboratory research on materials, products, structures, objects, or operations often provides key data for developing optimization models. Therefore, the submission of papers engaging with experimental methods to address current issues associated with sustainable construction is also encouraged. In addition, scientific works that combine optimization tools and experimental methods to reach synergistic effects in favor of sustainable construction are particularly desirable here. Created on these bases, the Special Issue intends to contribute the new knowledge needed to advance sustainable construction practices.
In this manner, we kindly invite you to submit your present work to this Special Issue.
Prof. Dr. Uroš Klanšek
Dr. Tomaž Žula
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- sustainable building
- construction management
- project scheduling
- production processes
- site layout planning
- structural design
- materials research
- environmental engineering
- technology development
- optimization
- mathematical programming
- heuristics
- hybrid approaches
- multi-criteria decision-making techniques
- experimental methods
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