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The new leader-based constraint handling mechanism is incorporated in Constrained Multi-Objective Cuckoo Search (C-MOCS) and Constrained Multi-Objective Particle Swarm Optimization (C-MOPSO) as specific instances of a more general class of SIMs. The experimental results are carried out using a set of six well-known test functions and two performance metrics. The convergence and diversity of C-MOCS and C-MOPSO are analysed and compared to the well-known Multi-Objective Evolutionary Algorithm (MOEA) NSGA-II and discussed based on the obtained results.<\/jats:p>","DOI":"10.4018\/ijsir.2018010102","type":"journal-article","created":{"date-parts":[[2017,11,15]],"date-time":"2017-11-15T15:21:51Z","timestamp":1510759311000},"page":"20-38","source":"Crossref","is-referenced-by-count":1,"title":["On the Convergence and Diversity of Pareto Fronts Using Swarm Intelligence Metaheuristics for Constrained Search Space"],"prefix":"10.4018","volume":"9","author":[{"given":"Kamel","family":"Zeltni","sequence":"first","affiliation":[{"name":"Constantine 2 - Abdelhamid Mehri University, Constantine, Algeria"}]},{"given":"Souham","family":"Meshoul","sequence":"additional","affiliation":[{"name":"Constantine 2 - Abdelhamid Mehri University, Constantine, Algeria"}]},{"given":"Heyam H.","family":"Al-Baity","sequence":"additional","affiliation":[{"name":"King Saud University, Riyadh, Saudi Arabia"}]}],"member":"2432","reference":[{"key":"IJSIR.2018010102-0","doi-asserted-by":"publisher","DOI":"10.1287\/opre.45.1.92"},{"key":"IJSIR.2018010102-1","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-3615(99)00046-9"},{"key":"IJSIR.2018010102-2","doi-asserted-by":"publisher","DOI":"10.1016\/S0045-7825(01)00323-1"},{"key":"IJSIR.2018010102-3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-5184-0"},{"key":"IJSIR.2018010102-4","author":"C. 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