Crystal structure optimization approach to problem solving in mechanical engineering design. Issue 1 (1st March 2022)
- Record Type:
- Journal Article
- Title:
- Crystal structure optimization approach to problem solving in mechanical engineering design. Issue 1 (1st March 2022)
- Main Title:
- Crystal structure optimization approach to problem solving in mechanical engineering design
- Authors:
- Talatahari, Babak
Azizi, Mahdi
Talatahari, Siamak
Tolouei, Mohamad
Sareh, Pooya - Abstract:
- Abstract : Purpose: In this paper, the authors aim to examine and comparatively evaluate a recently-developed metaheuristic called crystal structure algorithm (CryStAl) – which is inspired by the symmetries in the internal structure of crystalline solids – in solving engineering mechanics and design problems. Design/methodology/approach: A total number of 20 benchmark mathematical functions are employed as test functions to evaluate the overall performance of the proposed method in handling various functions. Moreover, different classical and modern metaheuristic algorithms are selected from the optimization literature for a comparative evaluation of the performance of the proposed approach. Furthermore, five well-known mechanical design examples are utilized to examine the capability of the proposed method in dealing with challenging optimization problems. Findings: The results of this study indicated that, in most cases, CryStAl produced more accurate outputs when compared to the other metaheuristics examined as competitors. Research limitations/implications: This paper can provide motivation and justification for the application of CryStAl to solve more complex problems in engineering design and mechanics, as well as in other branches of engineering. Originality/value: CryStAl is one of the newest metaheuristic algorithms, the mathematical details of which were recently introduced and published. This is the first time that this algorithm is applied to solving engineeringAbstract : Purpose: In this paper, the authors aim to examine and comparatively evaluate a recently-developed metaheuristic called crystal structure algorithm (CryStAl) – which is inspired by the symmetries in the internal structure of crystalline solids – in solving engineering mechanics and design problems. Design/methodology/approach: A total number of 20 benchmark mathematical functions are employed as test functions to evaluate the overall performance of the proposed method in handling various functions. Moreover, different classical and modern metaheuristic algorithms are selected from the optimization literature for a comparative evaluation of the performance of the proposed approach. Furthermore, five well-known mechanical design examples are utilized to examine the capability of the proposed method in dealing with challenging optimization problems. Findings: The results of this study indicated that, in most cases, CryStAl produced more accurate outputs when compared to the other metaheuristics examined as competitors. Research limitations/implications: This paper can provide motivation and justification for the application of CryStAl to solve more complex problems in engineering design and mechanics, as well as in other branches of engineering. Originality/value: CryStAl is one of the newest metaheuristic algorithms, the mathematical details of which were recently introduced and published. This is the first time that this algorithm is applied to solving engineering mechanics and design problems. … (more)
- Is Part Of:
- Multidiscipline modeling in materials and structures. Volume 18:Issue 1(2022)
- Journal:
- Multidiscipline modeling in materials and structures
- Issue:
- Volume 18:Issue 1(2022)
- Issue Display:
- Volume 18, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 18
- Issue:
- 1
- Issue Sort Value:
- 2022-0018-0001-0000
- Page Start:
- 1
- Page End:
- 23
- Publication Date:
- 2022-03-01
- Subjects:
- Metaheuristic -- Optimization -- Algorithm -- Statistical analysis -- Crystal structure -- Lattice
Materials -- Mathematical models -- Periodicals
Engineering -- Mathematical models -- Periodicals
620.11015118 - Journal URLs:
- http://firstsearch.oclc.org ↗
http://www.emeraldinsight.com/journals.htm?issn=1573-6105 ↗
http://www.ingentaconnect.com/content/vsp/mmms ↗
http://www.swetswise.com/link/access%5Fdb?issn=1573-6105 ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/MMMS-10-2021-0174 ↗
- Languages:
- English
- ISSNs:
- 1573-6105
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 20729.xml