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Hence, this research paper presents a novel TeachIng leaRning-based Optimization aLgorithm (TIROL) for achieving the optimal solution for truST enforced clOud seRvice coMposition (STORM) to assist CMfg for improving the trust value with satisfied QoS preference(s). The performance of the proposed framework has been validated using the synthetic dataset generated from different test-cases. <\/jats:p><jats:p> Experimental results show that the proposed framework is reliable and outperforms the SOTA approaches in terms of trust value maximization. <\/jats:p>","DOI":"10.1142\/s0218126621502935","type":"journal-article","created":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T03:30:53Z","timestamp":1625110253000},"source":"Crossref","is-referenced-by-count":3,"title":["Trust Enforced Cloud Service Composition Based on Teaching\u2013Learning-Based Optimization \u2013 STORM"],"prefix":"10.1142","volume":"30","author":[{"given":"V.","family":"Meena","sequence":"first","affiliation":[{"name":"School of Computing, SASTRA Deemed University, Thirumalaisamudram, Thanjavur 613401, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N.","family":"Sasikaladevi","sequence":"additional","affiliation":[{"name":"School of Computing, SASTRA Deemed University, Thirumalaisamudram, Thanjavur 613401, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T. 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