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A modified LAB algorithm is introduced in this paper. It builds upon theoriginal LAB algorithm (Reddy et al. 2023), which is a socio-inspired algorithmthat models competitive and learning behaviours within a group, establishinghierarchical roles. The proposed algorithm incorporates the roulette wheelapproach and a reduction factor introducing inter-group competition anditeratively narrowing down the sample space. The algorithm is validated bysolving the benchmark test problems from CEC 2005 and CEC 2017. The solutionsare validated using standard statistical tests such as two-sided and pairwisesigned rank Wilcoxon test and Friedman rank test. The algorithm exhibitedimproved and superior robustness as well as search space explorationcapabilities. Furthermore, a Clustering-Based Search Space Reduction (C-SSR)method is proposed, making the algorithm capable to solve constrained problems.The C-SSR method enables the algorithm to identify clusters of feasibleregions, satisfying the constraints and contributing to achieve the optimalsolution. This method demonstrates its effectiveness as a potential alternativeto traditional constraint handling techniques. The results obtained using theModified LAB algorithm are then compared with those achieved by other recentmetaheuristic algorithms.

Modified LAB Algorithm with Clustering-based Search Space Reduction Method for solving Engineering Design Problems