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technical-note

Metaheuristics in nature-inspired algorithms

Published:12 July 2014Publication History

ABSTRACT

To many people, the terms nature-inspired algorithm and metaheuristic are interchangeable. However, this contemporary usage is not consistent with the original meaning of the term metaheuristic, which referred to something closer to a design pattern than to an algorithm. In this paper, it is argued that the loss of focus on true metaheuristics is a primary reason behind the explosion of "novel" nature-inspired algorithms and the issues this has raised. To address this, this paper attempts to explicitly identify the metaheuristics that are used in conventional optimisation algorithms, discuss whether more recent nature-inspired algorithms have delivered any fundamental new knowledge to the field of metaheuristics, and suggest some guidelines for future research in this field.

References

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  1. Metaheuristics in nature-inspired algorithms

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        • Published in

          cover image ACM Conferences
          GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation
          July 2014
          1524 pages
          ISBN:9781450328814
          DOI:10.1145/2598394

          Copyright © 2014 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 12 July 2014

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          GECCO Comp '14 Paper Acceptance Rate180of544submissions,33%Overall Acceptance Rate1,669of4,410submissions,38%

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