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A continuous ant colony optimization algorithm (ACOR) is proposed to overcome this difficulty. Still, some problems exist, such as quickly falling into local optimum, slow convergence speed, and low convergence accuracy. To solve these problems, this paper proposes a modified version of ACOR called ADNOLACO. There is an opposition-based learning mechanism introduced into ACOR to effectively improve the convergence speed of ACOR. All-dimension neighborhood mechanism is also introduced into ACOR to further enhance the ability of ACOR to avoid getting trapped in the local optimum. To strongly demonstrate these core advantages of ADNOLACO, with the 30 benchmark functions of IEEE CEC2017 as the basis, a detailed analysis of ADNOLACO and ACOR is not only qualitatively performed, but also a comparison experiment is conducted between ADNOLACO and its peers. The results fully proved that ADNOLACO has accelerated the convergence speed and improved the convergence accuracy. The ability to find a balance between local and globally optimal solutions is improved. Also, to show that ADNOLACO has some practical value in real applications, it deals with four engineering problems. The simulation results also illustrate that ADNOLACO can improve the accuracy of the computational results. Therefore, it can be demonstrated that the proposed ADNOLACO is a promising and excellent algorithm based on the results.<\/jats:p>","DOI":"10.1093\/jcde\/qwac038","type":"journal-article","created":{"date-parts":[[2022,4,23]],"date-time":"2022-04-23T11:08:39Z","timestamp":1650712119000},"page":"1007-1044","source":"Crossref","is-referenced-by-count":31,"title":["Opposition-based ant colony optimization with all-dimension neighborhood search for engineering design"],"prefix":"10.1093","volume":"9","author":[{"given":"Dong","family":"Zhao","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Changchun Normal University , Changchun, Jilin 130032, China"}]},{"given":"Lei","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Changchun Normal University , Changchun, Jilin 130032, China"}]},{"given":"Fanhua","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Beihua University , Changchun, Jilin 130032, China"}]},{"given":"Ali Asghar","family":"Heidari","sequence":"additional","affiliation":[{"name":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran , Tehran 1417466191, Iran"}]},{"given":"Maofa","family":"Wang","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology , Guilin 541004, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7714-9693","authenticated-orcid":false,"given":"Huiling","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Artificial Intelligence, Wenzhou University , Wenzhou, Zhejiang 325035, China"}]},{"given":"Khan","family":"Muhammad","sequence":"additional","affiliation":[{"name":"Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), Department of Applied Artificial Intelligence, School of Convergence, College of Computing and Informatics, Sungkyunkwan University , Seoul 03063, Republic of Korea"}]}],"member":"286","published-online":{"date-parts":[[2022,6,1]]},"reference":[{"key":"2022060201540405700_bib1","doi-asserted-by":"crossref","DOI":"10.1007\/s00366-021-01442-3","article-title":"Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings","author":"Abbasi","year":"2021","journal-title":"Engineering with Computers"},{"key":"2022060201540405700_bib2","doi-asserted-by":"crossref","first-page":"115079","DOI":"10.1016\/j.eswa.2021.115079","article-title":"RUN beyond the metaphor: An efficient optimization algorithm based on runge kutta method","volume":"181","author":"Ahmadianfar","year":"2021","journal-title":"Expert Systems with Applications"},{"key":"2022060201540405700_bib3","doi-asserted-by":"crossref","first-page":"116516","DOI":"10.1016\/j.eswa.2022.116516","article-title":"INFO: An efficient optimization algorithm based on weighted mean of vectors","volume":"195","author":"Ahmadianfar","year":"2022","journal-title":"Expert Systems with Applications"},{"key":"2022060201540405700_bib4","first-page":"1","article-title":"Introduction to optimum design","author":"Arora","year":"2004","journal-title":"Introduction to Optimum Design"},{"key":"2022060201540405700_bib5","doi-asserted-by":"crossref","first-page":"1583","DOI":"10.1002\/nme.1620210904","article-title":"A study of mathematical programming methods for structural optimization. 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