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Heuristic and Meta-Heuristic Optimization

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Metaheuristic Applications to Speech Enhancement

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Abstract

This chapter deals with the fundamentals of the optimization. The concepts of stochastic optimization and how the stochastic optimization is advantageous over the deterministic approaches are described in Sect. 3.2. Heuristic and meta-heuristic optimization techniques are defined in Sect. 3.3, and it also presents various existing heuristic and meta-heuristic optimization techniques. The fundamentals of the swarm intelligence are given in Sect. 3.4. The applications of the swarm intelligence in various fields are also presented in this section.

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References

  • Banzhaf W, Nordin P, Keller R, Francone F (1998) Genetic programming—An Introduction. San Francisco, CA: Morgan Kaufmann. ISBN 978-1558605107

    Google Scholar 

  • Battiti R, Mauro B, Franco M (2008) Reactive search and intelligent optimization. Springer Verlag. ISBN 978-0-387-09623-0

    Google Scholar 

  • Beni G, Wang J (1989) Swarm intelligence in cellular robotic systems, proceed. NATO advanced workshop on robots and biological systems. Tuscany, Italy, pp 26–30

    Google Scholar 

  • Bonabeau E, Dorigo M, Theraulaz G (1999) Swarm intelligence: from natural to artificial systems. ISBN 0-19-513159-2

    Google Scholar 

  • Civicioglu P (2012) Transforming geocentric cartesian coordinates to geodetic coordinates by using differential search algorithm. Comput Geosci 46:229–247

    Article  Google Scholar 

  • Glover F (1986) Future paths for integer programming and links to artificial intelligence. Comput Oper Res 13(5):533–549. doi:10.1016/0305-0548(86)90048-1

    Article  MathSciNet  MATH  Google Scholar 

  • Glover Fred (1989) Tabu Search—Part 1. ORSA J Comput 1(2):190–206. doi:10.1287/ijoc.1.3.190

    Article  MATH  Google Scholar 

  • Granville V, Krivanek M, Rasson J-P (1994) Simulated annealing: a proof of convergence. IEEE transactions on pattern analysis and machine intelligence, 16(6):652–656. doi:10.1109/34.295910

    Google Scholar 

  • Hooke R, Jeeves TA (1961) Direct search solution of numerical and statistical problems. J Assoc Comput Mach (ACM) 8(2):212–229. doi:10.1145/321062.321069

    Google Scholar 

  • Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department

    Google Scholar 

  • Kennedy J, Eberhart R (1995) Particle swarm optimization. Proceedings of IEEE international conference on neural networks. pp 1942–1948. doi:10.1109/ICNN.1995.488968

  • Kirkpatrick S, Gelatt Jr CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671–680. Bibcode: 1983 Sci…220..671K. doi:10.1126/science.220.4598.671

    Google Scholar 

  • Lewis M, Anthony B, George A (1992) The Behavioral Self-Organization of Nanorobots Using Local Rules. Proceedings of the 1992 IEEE/RSJ international conference on intelligent robots and systems

    Google Scholar 

  • Millonas M (1994) Swarms, phase transitions, and collective intelligence. In: Artificial Life III, Addison-Wesley

    Google Scholar 

  • Minoux, M. (1986). Mathematical programming: Theory and algorithms. Egon Balas foreword (Translated by Steven Vajda from the (1983 Paris: Dunod) French ed.). Chichester: A Wiley-Interscience Publication. John Wiley & Sons, Ltd. pp xxviii+489. ISBN 0-471-90170-9. MR 2571910. (2008 Second ed., in French: Programmation mathématique: Théorie et algorithmes. Editions Tec & Doc, Paris, 2008).pp xxx+711. ISBN 978-2-7430-1000-3

    Google Scholar 

  • Moscato P (1989) On evolution, search, optimization, genetic algorithms and martial arts: towards memetic algorithms. Caltech Concurrent Computation Program (report 826)

    Google Scholar 

  • Nelder JA, Mead R (1965) A simplex method for function minimization. Comput J 7:308–313. doi:10.1093/comjnl/7.4.308

    Google Scholar 

  • Nocedal J, Wright S (1999) Numerical optimization, Springer Business Media

    Google Scholar 

  • Rashedi E, Nezamabadi-pour H, Saryazdi S (2009) GSA: a gravitational search algorithm. Inf Sci 179(13):2232–2248. doi:10.1016/j.ins.2009.03.004

    Google Scholar 

  • Russell Stuart J, Norvig P (2003) Artificial intelligence: a modern approach, 2nd edn. Prentice Hall, Upper Saddle River, New Jersey, pp 111–114. ISBN: 0-13-790395-2

    Google Scholar 

  • Spall JC (2003) Introduction to stochastic search and optimization. Wiley. ISBN 0-471-33052-3

    Google Scholar 

  • Storn R (1996) On the usage of differential evolution for function optimization. Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS), pp 519–523

    Google Scholar 

  • Underwood P (1983) Dynamic relaxation, in computational methods for transient analysis. In: Belytschko T, Hughes TJR (eds) New-Holland. Amsterdam, pp 245–265

    Google Scholar 

Download references

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Correspondence to Prajna Kunche .

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Kunche, P., Reddy, K.V.V.S. (2016). Heuristic and Meta-Heuristic Optimization. In: Metaheuristic Applications to Speech Enhancement. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-31683-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-31683-3_3

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-31683-3

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