Skip to main content
SpringerLink
Log in
Book cover

Culture on the Edge of Chaos pp 13–25Cite as

Cultural Algorithm Framework

  • Chapter
  • First Online:

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

Abstract

In this chapter, the author presents the Cultural Algorithm framework, including knowledge sources, the Communication Protocol, and the Population Space.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Ali MZ, Suganthan PN, Reynolds RG, Al-Badarneh A (2016a) Leveraged neighborhood restructuring in cultural algorithms for solving real-world numerical optimization problems. IEEE Trans Evol Comput 20(2):218–231

    Article  Google Scholar 

  • Ali MZ, Awad NH, Suganthan PN, Reynolds RG (2016b) A modified cultural algorithm with a balanced performance for the differential evolution framework. Knowl-Based Syst 111:75–86

    Article  Google Scholar 

  • Ali MZ, Awad NH, Suganthan PN, Duwairi RM, Reynolds RG (2016c) A novel hybrid cultural algorithms framework with trajectory-based search for global numerical optimization. Inf Sci 334–335:219–249

    Article  Google Scholar 

  • Ali MZ (2008) Using cultural algorithms to solve optimization problems with a social fabric approach. Dissertation, Wayne State University

    Google Scholar 

  • Awad NA, Ali MZ, Suganthan PN, Reynolds RG (2017) CADE: a hybridization of cultural algorithm and differential evolution for numericaloptimization. Inf Sci 378:215–241

    Article  Google Scholar 

  • Chung C, Reynolds RG (1998) CAEP: an evolution-based tool for real-valued function optimization using cultural algorithms. Int J Artif Intell Tools 7(3):239–291

    Article  Google Scholar 

  • Clayton N, Griffiths DP, Dickinson A (2000) Declarative and episodic-like memory in animals: personal musings of a scrub jay. In: Heyes C, Huber L (eds) The evolution of cognition, pp 273–288

    Google Scholar 

  • Eberhart R, Kennedy J (1995) A new optimizer using particle swarm theory. In: The sixth international symposium on micro machine and human science, pp 39–43

    Google Scholar 

  • Goldberg D, Wang L (1997) Adaptive niching via coevolutionary sharing. In: Quagliarella D, Periaux J, Poloni C, Winter G (eds) Genetic algorithms and evolution strategy in engineering and computer science. Wiley, West Sussex, pp 21–38

    Google Scholar 

  • Halvey M, Keane M (2007) Exploring social dynamics in online media sharing. In: 16th international conference on World Wide Web, pp 1273–1274

    Google Scholar 

  • Heyes CM, Huber L (2000) The evolution of cognition. MIT Press, Cambridge, MA

    Google Scholar 

  • Horn JN, Nafpliotis N, Goldberg DE (1994) A niched Pareto genetic algorithm for multiobjective optimization. In: First IEEE conference on evolutionary algorithms, pp 82–87

    Google Scholar 

  • Jin X, Reynolds RG (1999a) Using knowledge-based evolutionary computation to solve nonlinear constraint optimization problems: a cultural algorithm approach. In: Proceedings of the 1999 congress on evolutionary computation (CEC99), Washington, DC, pp 1672–1678

    Google Scholar 

  • Jin X, Reynolds RG (1999b) Using knowledge-based system with hierarchical architecture to guide the search of evolutionary computation. In: Proceeding of the 11th IEEE international conference on tools with artificial intelligence (ICTAI’99), November, Chicago, IL, pp 29–36

    Google Scholar 

  • Lazar A, Reynolds RG (2002) Evolution-based learning of ontological knowledge for a large-scale multi-agent simulation. In: Proceedings of the 6th joint conference on information science, USA, pp 659–662

    Google Scholar 

  • Loiacono D, Togelius J, Lanzi PL, Kinnaird-Heether L, Lucas SM, Simmerson M, Perez D, Reynolds RG, Saez Y (2008) The WCCI 2008 simulated car racing competition. In: Proceedings of the IEEE symposium on computational intelligence and games

    Google Scholar 

  • Miraglia B (1996) Together for a change: a Partenership approach to Indivisual and community learning. In: Chapman J, Cartwright P, McGlip EJ (eds) Lifelong learning, participation and equity. Springer, Dordercht, pp 93–110

    Google Scholar 

  • Peng B (2005) Knowledge swarms in cultural algorithms for dynamic environments. Dissertation, Wayne State University, Detroit

    Google Scholar 

  • Reynolds RG (1978) On modeling the evolution of hunter-gatherer decision-making systems. Geogr Anal 10(1):31–46

    Article  Google Scholar 

  • Reynolds RG (1979) An adaptive computer model of the evolution of agriculture in the valley of Oaxaca. Mexico Dissertation, University of Michigan, Ann Arbor

    Google Scholar 

  • Reynolds RG (1994) An introduction to cultural algorithms. In: Proceedings of the 3rd annual conference on evolutionary programming. World Scientific Publishing, London, pp 131–139

    Google Scholar 

  • Reynolds RG (1999a) An introduction to cultural algorithms. In: Proceedings of the 3rd annual conference on evolutionary programming. World Scientific Publishing, London, pp 131–139

    Google Scholar 

  • Reynolds RG (2003) Predicting the past using multi-agent models of cultural evolution, 16–19 April. Midwest Sociological Society, Chicago, IL

    Google Scholar 

  • Reynolds RG, Ali MZ, Alomari RS (2006) Optimization problem solving using predator/prey games and cultural algorithms. In: CIG 2006, pp 119–125

    Google Scholar 

  • Reynolds RG, Chung C (1997) A cultural algorithm to evolve multi-agent cooperation using cultural algorithms. In: Angeline PJ, Reynolds RG, McDonnell JR, Eberhart R (eds) Evolutionary programming VI. Springer, Berlin, pp 323–334

    Chapter  Google Scholar 

  • Reynolds RG, Kinniard-Heether L (2013) Optimization problem solving with auctions in cultural algorithms. Memet Comput 5(2):83–94

    Article  Google Scholar 

  • Reynolds RG, Kobti Z, Kohler T (2003) A multi-agent simulation using cultural algorithms: the effect of culture on the resilience of social systems. In: Proceedings 2003 I.E. proceedings of congress on evolutionary computation, Canberra, Australia, 8–12 Dec 2003, pp 1743–1750

    Google Scholar 

  • Reynolds RG, Kobti Z, Kohler T (2004) The effect of culture on the resilience of social systems in the village multi-agent simulation. In: Proceedings of IEEE international congress on evolutionary computation, Portland, OR, 19, 24 June 2004, pp 1743–1750

    Google Scholar 

  • Reynolds RG, Che S, Ali M (2010) Weaving the social fabric: problem solving with cultural algorithms. Int J Complex Cybern 3(4):561–592

    Article  Google Scholar 

  • Reynolds RG, O’Shea J, Che X, Gawasmeh YA, Meadows G, Fotouhi F (2011) Agile design of reality games online. In: Chen S-H, Kambayashi Y, Sato H (eds) Multi-agent applications with evolutionary computation and biologically inspired technologies: intelligent techniques for ubiquity and optimization. IGI Global, Hershey, PA

    Google Scholar 

  • Reynolds RG, Peng B (2005) Knowledge learning and social swarms in cultural algorithms. J Math Sociol 29:1–18

    Article  Google Scholar 

  • Reynolds RG, Saleem S (2001) The impact of environmental dynamics on cultural emergence. In: Perspectives on adaptation in natural and artificial systems, pp 253–280

    Google Scholar 

  • Schwimmer B (1996) Anthropology on the internet: a review and evaluation of networked resources. Curr Anthropol 37(3):561–568

    Article  Google Scholar 

  • Stefan J, Reynolds RG, Fotouhi F, Aristar A, Lu S, Dong M (2003). Evolution based approaches to the preservation of endangered natural languages. In: Proceedings of the IEEE international congress on evolutionary computation, Australia, pp 1980–1987

    Google Scholar 

  • Vitale K, Reynolds RG, O’Shea J, Che X (2011) Learning group behavior in games: using cultural algorithms: the land bridge game engine example. In: Swarm intelligence IEEE symposium, pp 1–9

    Google Scholar 

  • Waris F, Reynolds RG (2015) Using cultural algorithms to improve wearable device gesture recognition performance. In: IEEE symposium series on computational intelligence, Cape Town, 2015

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, Wayne State University, Detroit, MI, USA

    Robert G. Reynolds

Authors
  1. Robert G. Reynolds
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2018 The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Reynolds, R.G. (2018). Cultural Algorithm Framework. In: Culture on the Edge of Chaos. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-74171-0_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-74171-0_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74169-7

  • Online ISBN: 978-3-319-74171-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation