Title

Coevolutionary Principles

Abstract

Coevolutionary algorithms approach problems for which no function for evaluating potential solutions is present or known. Instead, algorithms rely on the aggregation of outcomes from interactions among evolving entities in order to make selection decisions. Given the lack of an explicit yardstick, understanding the dynamics of coevolutionary algorithms, judging whether a given algorithm is progressing, and designing effective new algorithms present unique challenges unlike those faced by optimization or evolutionary algorithms. The purpose of this chapter is to provide a foundational understanding of coevolutionary algorithms and to highlight critical theoretical and empirical work done over the last two decades. This chapter outlines the ends and means of coevolutionary algorithms: what they are meant to find, and how they should find it.

Publication Date

1-1-2012

Publication Title

Handbook of Natural Computing

Volume

2-4

Number of Pages

987-1033

Document Type

Article; Book Chapter

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-540-92910-9_31

Socpus ID

84924709178 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84924709178

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