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The ultimate goal of the devised algorithm is to replicate the food-foraging behaviour of Slender Loris (SL) and the quick movement of SL when threatened (i.e.) their escape from predators and also mathematically modelled the special communication techniques of SL using their urine scent smell. SLOA modelled SL\u2019s slow food foraging behaviour as the exploitation phase, and moving between the tree and escaping from a predator is modelled as the exploration phase. The Eyesight of slender Loris plays a vital role in food foraging during nighttime in dim light. The operator\u2019s Eyesight is modelled based on the angle of inclination of SL. The urine scent intensity is used here to be instrumental in preventing already exploited territory activities, which improves algorithm performance. The suggested algorithm is assessed and tested against nineteen benchmark test operations and evaluated for effectiveness with standard widely recognized meta-heuristics algorithms. The result shows SLOA performing better and achieving near-optimal solutions and dominance in exploration\u2013exploitation balance in most cases than the existing state-of-the-art algorithms.<\/jats:p>","DOI":"10.3233\/jifs-236737","type":"journal-article","created":{"date-parts":[[2024,2,23]],"date-time":"2024-02-23T11:32:12Z","timestamp":1708687932000},"page":"8799-8810","source":"Crossref","is-referenced-by-count":1,"title":["Slender loris optimization algorithm for solving optimization problems"],"prefix":"10.1177","volume":"46","author":[{"given":"A.","family":"Vijaya Lakshmi","sequence":"first","affiliation":[{"name":"Department of Computer Science, School of Engineering and Technology, Pondicherry University, India"}]},{"given":"K.","family":"Vaitheki","sequence":"additional","affiliation":[{"name":"Department of Computer Science, School of Engineering and Technology, Pondicherry University, India"}]},{"given":"K.","family":"Suresh Joseph","sequence":"additional","affiliation":[{"name":"Department of Computer Science, School of Engineering and Technology, Pondicherry University, India"}]}],"member":"179","reference":[{"issue":"1","key":"10.3233\/JIFS-236737_ref1","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/S00366-011-0241-Y\/FIGURES\/16","article-title":"Cuckoo search algorithm: A metaheuristic approach to solve structural optimization problems","volume":"29","author":"Gandomi","year":"2013","journal-title":"Eng. 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