Jerry Swan, Steven Adriaensen, Mohamed Bishr, Edmund K. Burke, John A. Clark, Patrick De Causmaecker, Juanjo Durillo, Kevin Hammond, Emma Hart, Colin G. Johnson, Zoltan A. Kocsis, Ben Kovitz, Krzysztof Krawiec, Simon Martin, J. J. Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Erwin Pesch, Pablo Garcáa-Sánchez, Andrea Schaerf, Kevin Sim, Jim E. Smith, Thomas Stützle, Stefan Voß, Stefan Wagner, Xin Yao. "A Research Agenda for Metaheuristic Standardization".
Fister Jr., Iztok; Yang, Xin-She; Fister, Iztok; Brest, Janez; Fister, Dušan (2013). "A Brief Review of Nature-Inspired Algorithms for Optimization". arXiv:1307.4186 [cs.NE].
Lones, Michael A. (2014). "Metaheuristics in Nature-Inspired Algorithms"(PDF). GECCO '14. doi:10.1145/2598394.2609841. 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.
Sörensen, Kenneth; Sevaux, Marc; Glover, Fred. "A History of Metaheuristics"(PDF). In Martí, Rafael; Panos, Pardalos; Resende, Mauricio (eds.). Handbook of Heuristics. Springer. ISBN978-3-319-07123-7.
A comprehensive survey appears in Sorensen, K., and Glover, F. (in press), “Metaheuristics,” in the Encyclopedia of Operations Research and Management Science (3e), S. I. Gass and M. C. Fu, eds., Springer, New York.
