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Keyword: CEC2019 benchmark functions ×Clear all

1 claim from 1 paper

1. Computer Science › Metaheuristic Optimization Algorithms Research

   Q-Learning American Zebra Optimization Algorithm for Global Optimization

   Olipalli, Naraharisetti, Perumalla et al. · International Journal of Computational Intelligence Systems · 2026

   The authors add a Q-learning decision mechanism to the American Zebra Optimization Algorithm and test the result, QLAZOA, on benchmark suites and engineering design problems.

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   1. UncheckedQLAZOA, a Q-learning-enhanced zebra-herd optimiser, ranks strongly on the CEC2005 benchmark suite and beats several classical and swarm-based algorithms.“Experimental results show that QLAZOA achieves strong and competitive rankings on the CEC2005 benchmark suite, including both the full set of 23 functions and a subset of 13 functions involving top-performing optimizers, where it outperforms several classical and swarm-based algorithms.”