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This paper presents a concise bibliometric review of metaheuristics, a class of high-level, problem-independent algorithmic frameworks designed for heuristic optimization. Since their rise in the late twentieth century, driven largely by advances in computational power, metaheuristics have become increasingly popular in solving complex optimization problems. In this review, we examine the evolution of the metaheuristics literature, highlighting key trends, developments, and the growing impact of this field over time.

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A Short Bibliometric Review of Metaheuristics

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  • 发表日期：

    2026年

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  • Mehmet Anıl Akbay,
  • Jaume Reixach,
  • Guillem Rodríguez Corominas,
  • Camilo Chacón Sartori,
  • Christian Blum

摘要

This paper presents a concise bibliometric review of metaheuristics, a class of high-level, problem-independent algorithmic frameworks designed for heuristic optimization. Since their rise in the late twentieth century, driven largely by advances in computational power, metaheuristics have become increasingly popular in solving complex optimization problems. In this review, we examine the evolution of the metaheuristics literature, highlighting key trends, developments, and the growing impact of this field over time.