Artificial lemming algorithm: a novel bionic meta-heuristic technique for solving real-world engineering optimization problems

The advent of the intelligent information era has witnessed a proliferation of complex optimization problems across various disciplines. Although existing meta-heuristic algorithms have demonstrated efficacy in many scenarios, they still struggle with certain challenges such as premature convergence, insufficient exploration, and lack of robustness in high-dimensional, nonconvex search spaces. These limitations underscore the need for novel optimization techniques that can better balance exploration and exploitation while maintaining computational efficiency. In response to this need, we propose the Artificial Lemming Algorithm (ALA), a bio-inspired metaheuristic that mathematically models four distinct…

• MD
  Ministerio de Ciencia e Innovación

  Award: PID2020-115570GB-C22 MCIN/AEI/10.13039/501100011033