Metaheuristics in nature-inspired algorithms

Michael A. Lones*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

58 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationGECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference
PublisherAssociation for Computing Machinery
Pages1419-1422
Number of pages4
ISBN (Print)9781450328814
DOIs
Publication statusPublished - 1 Jan 2014
Event16th Genetic and Evolutionary Computation Conference 2014 - Vancouver, Canada
Duration: 12 Jul 201416 Jul 2014

Conference

Conference16th Genetic and Evolutionary Computation Conference 2014
Abbreviated titleGECCO 2014
Country/TerritoryCanada
CityVancouver
Period12/07/1416/07/14

Keywords

  • Design patterns
  • Metaheuristics

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Applied Mathematics

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