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In our previous work, we proposed single-objective binary, multimodal, and unconstrained multi-objective versions of this algorithm. However, most of the real-world problems are constrained multi-objective in nature. In multi-objective optimization, it is necessary to simultaneously optimize a number of objectives, which are typically in conflict with each other, over a feasible set that is determined by constraint functions. This paper introduces the Constrained Multi-Objective BRO (C-MOBRO) algorithm, a novel computational approach designed to address complex optimization problems characterized by multiple conflicting objectives and constraints. The performance of the C-MOBRO is evaluated on CEC2021 benchmark problems, which includes 50 benchmark suits consisting of a wide range of real-world constrained multi-objective engineering and optimization challenges. This benchmark suite has also been experimented with several state-of-the-art constrained multi-objective algorithms. This study evaluates the C-MOBRO using the same performance metrics as the CEC2021 benchmark: Hyper-Volume (HV), Feasibility Rate (FR), and Constraint Violation (CV), separately calculated as best, worst and mean values. The obtained results show that the C-MOBRO is competitive edge with state of the art constrained multi-objective optimization algorithms.<\/jats:p>","DOI":"10.1007\/s10586-025-05600-w","type":"journal-article","created":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T20:19:28Z","timestamp":1759177168000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["C-MOBRO: constrained multi-objective Battle Royale Optimization algorithm"],"prefix":"10.1007","volume":"28","author":[{"given":"Sait","family":"Alp","sequence":"first","affiliation":[]},{"given":"Rahim","family":"Dehkharghani","sequence":"additional","affiliation":[]},{"given":"Taymaz","family":"Akan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,29]]},"reference":[{"key":"5600_CR1","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolpert","year":"1997","unstructured":"Wolpert, D.H., Macready, W.G.: No free lunch theorems for optimization. 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