Skip to main content
Top
Published in:
Cover of the book

2021 | OriginalPaper | Chapter

1. Introduction

Author : Paulo Cortez

Published in: Modern Optimization with R

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This chapter first introduces the motivation for using modern optimization via the R tool. Then, three relevant aspects are discussed: how to represent a solution, how to evaluate the quality of solutions, and how to handle constraints. Next, an overall view of modern optimization methods is presented, followed by a discussion of their limitations and criticism. Finally, this chapter presents the optimization tasks that are used for tutorial purposes in the book.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Bäck T, Schwefel HP (1993) An overview of evolutionary algorithms for parameter optimization. Evol Comput 1(1):1–23CrossRef Bäck T, Schwefel HP (1993) An overview of evolutionary algorithms for parameter optimization. Evol Comput 1(1):1–23CrossRef
go back to reference Banzhaf W, Nordin P, Keller R, Francone F (1998) Genetic programming, an introduction. Morgan Kaufmann Publishers, Inc., San FranciscoCrossRef Banzhaf W, Nordin P, Keller R, Francone F (1998) Genetic programming, an introduction. Morgan Kaufmann Publishers, Inc., San FranciscoCrossRef
go back to reference Boyd S, Vandenberghe L (2004) Convex optimization. Cambridge University Press, CambridgeCrossRef Boyd S, Vandenberghe L (2004) Convex optimization. Cambridge University Press, CambridgeCrossRef
go back to reference Chen WN, Zhang J, Chung HS, Zhong WL, Wu WG, Shi YH (2010) A novel set-based particle swarm optimization method for discrete optimization problems. Evol Comput IEEE Trans 14(2):278–300CrossRef Chen WN, Zhang J, Chung HS, Zhong WL, Wu WG, Shi YH (2010) A novel set-based particle swarm optimization method for discrete optimization problems. Evol Comput IEEE Trans 14(2):278–300CrossRef
go back to reference Cortez P (2010) Data mining with neural networks and support vector machines using the R/rminer tool. In: Perner P (ed) Advances in data mining – applications and theoretical aspects, 10th industrial conference on data mining. LNAI 6171. Springer, Berlin, pp 572–583CrossRef Cortez P (2010) Data mining with neural networks and support vector machines using the R/rminer tool. In: Perner P (ed) Advances in data mining – applications and theoretical aspects, 10th industrial conference on data mining. LNAI 6171. Springer, Berlin, pp 572–583CrossRef
go back to reference Eberhart R, Kennedy J, Shi Y (2001) Swarm intelligence. Morgan Kaufmann Eberhart R, Kennedy J, Shi Y (2001) Swarm intelligence. Morgan Kaufmann
go back to reference Eberhart RC, Shi Y (2011) Computational intelligence: concepts to implementations. Morgan KaufmannMATH Eberhart RC, Shi Y (2011) Computational intelligence: concepts to implementations. Morgan KaufmannMATH
go back to reference Fernandes G, Oliveira N, Cortez P, Mendes R (2020) A realistic scooter rebalancing system via metaheuristics. In: Coello CAC (ed) GECCO’20: genetic and evolutionary computation conference, companion Volume, Cancún, 8–12 July 2020. ACM, pp 265–266. https://doi.org/10.1145/3377929.3389905 Fernandes G, Oliveira N, Cortez P, Mendes R (2020) A realistic scooter rebalancing system via metaheuristics. In: Coello CAC (ed) GECCO’20: genetic and evolutionary computation conference, companion Volume, Cancún, 8–12 July 2020. ACM, pp 265–266. https://​doi.​org/​10.​1145/​3377929.​3389905
go back to reference Fernandes K, Vinagre P, Cortez P (2015) A proactive intelligent decision support system for predicting the popularity of online news. In: Pereira FC, Machado P, Costa E, Cardoso A (eds) Progress in artificial intelligence – 17th Portuguese conference on artificial intelligence, EPIA 2015, Coimbra, 8–11 Sept 2015. Proceedings. Lecture notes in computer science, vol 9273. Springer, pp 535–546. https://doi.org/10.1007/978-3-319-23485-4_53 Fernandes K, Vinagre P, Cortez P (2015) A proactive intelligent decision support system for predicting the popularity of online news. In: Pereira FC, Machado P, Costa E, Cardoso A (eds) Progress in artificial intelligence – 17th Portuguese conference on artificial intelligence, EPIA 2015, Coimbra, 8–11 Sept 2015. Proceedings. Lecture notes in computer science, vol 9273. Springer, pp 535–546. https://​doi.​org/​10.​1007/​978-3-319-23485-4_​53
go back to reference Holland J (1975) Adaptation in natural and artificial systems. PhD thesis, University of Michigan, Ann Arbor Holland J (1975) Adaptation in natural and artificial systems. PhD thesis, University of Michigan, Ann Arbor
go back to reference Koch R (2015) From business intelligence to predictive analytics. Strategic Financ 96(7):56 Koch R (2015) From business intelligence to predictive analytics. Strategic Financ 96(7):56
go back to reference López-Ibáñez M, Dubois-Lacoste J, Cáceres LP, Birattari M, Stützle T (2016) The irace package: iterated racing for automatic algorithm configuration. Oper Res Perspect 3:43–58MathSciNet López-Ibáñez M, Dubois-Lacoste J, Cáceres LP, Birattari M, Stützle T (2016) The irace package: iterated racing for automatic algorithm configuration. Oper Res Perspect 3:43–58MathSciNet
go back to reference Michalewicz Z (2008) Adaptive Business Intelligence, Computer Science Course 7005 Handouts Michalewicz Z (2008) Adaptive Business Intelligence, Computer Science Course 7005 Handouts
go back to reference Michalewicz Z, Fogel D (2004) How to solve it: modern heuristics. Springer, New YorkCrossRef Michalewicz Z, Fogel D (2004) How to solve it: modern heuristics. Springer, New YorkCrossRef
go back to reference Michalewicz Z, Schmidt M, Michalewicz M, Chiriac C (2006) Adaptive business intelligence. Springer, New YorkMATH Michalewicz Z, Schmidt M, Michalewicz M, Chiriac C (2006) Adaptive business intelligence. Springer, New YorkMATH
go back to reference Pereira PJ, Pinto P, Mendes R, Cortez P, Moreau A (2019) Using neuroevolution for predicting mobile marketing conversion. In: Progress in artificial intelligence, 19th EPIA conference on artificial intelligence, EPIA 2019, Vila Real, 3–6 Sept 2019, Proceedings, Part II. Lecture notes in computer science, vol 11805. Springer, pp 373–384. https://doi.org/10.1007/978-3-030-30244-3_31 Pereira PJ, Pinto P, Mendes R, Cortez P, Moreau A (2019) Using neuroevolution for predicting mobile marketing conversion. In: Progress in artificial intelligence, 19th EPIA conference on artificial intelligence, EPIA 2019, Vila Real, 3–6 Sept 2019, Proceedings, Part II. Lecture notes in computer science, vol 11805. Springer, pp 373–384. https://​doi.​org/​10.​1007/​978-3-030-30244-3_​31
go back to reference Rocha M, Cortez P, Neves J (2000) The relationship between learning and evolution in static and in dynamic environments. In: Fyfe C (ed) Proceedings of the 2nd ICSC symposium on engineering of intelligent systems (EIS’2000). ICSC Academic Press, pp 377–383 Rocha M, Cortez P, Neves J (2000) The relationship between learning and evolution in static and in dynamic environments. In: Fyfe C (ed) Proceedings of the 2nd ICSC symposium on engineering of intelligent systems (EIS’2000). ICSC Academic Press, pp 377–383
go back to reference Rocha M, Mendes R, Cortez P, Neves J (2001) Sitting guest at a wedding party: experiments on genetic and evolutionary constrained optimization. In: Proceedings of the 2001 congress on evolutionary computation (CEC2001), vol 1. IEEE Computer Society, Seoul, pp 671–678 Rocha M, Mendes R, Cortez P, Neves J (2001) Sitting guest at a wedding party: experiments on genetic and evolutionary constrained optimization. In: Proceedings of the 2001 congress on evolutionary computation (CEC2001), vol 1. IEEE Computer Society, Seoul, pp 671–678
go back to reference Rocha M, Cortez P, Neves J (2007) Evolution of neural networks for classification and regression. Neurocomputing 70:2809–2816CrossRef Rocha M, Cortez P, Neves J (2007) Evolution of neural networks for classification and regression. Neurocomputing 70:2809–2816CrossRef
go back to reference Rocha M, Sousa P, Cortez P, Rio M (2011) Quality of service constrained routing optimization using evolutionary computation. Appl Soft Comput 11(1):356–364CrossRef Rocha M, Sousa P, Cortez P, Rio M (2011) Quality of service constrained routing optimization using evolutionary computation. Appl Soft Comput 11(1):356–364CrossRef
go back to reference Ryan C, Collins JJ, O’Neill M (1998) Grammatical evolution: evolving programs for an arbitrary language. In: Banzhaf W, Poli R, Schoenauer M, Fogarty TC (eds) Genetic programming, first European workshop, EuroGP’98, Paris, 14–15 Apr 1998, Proceedings. Lecture notes in computer science, vol 1391. Springer, pp 83–96. https://doi.org/10.1007/BFb0055930 Ryan C, Collins JJ, O’Neill M (1998) Grammatical evolution: evolving programs for an arbitrary language. In: Banzhaf W, Poli R, Schoenauer M, Fogarty TC (eds) Genetic programming, first European workshop, EuroGP’98, Paris, 14–15 Apr 1998, Proceedings. Lecture notes in computer science, vol 1391. Springer, pp 83–96. https://​doi.​org/​10.​1007/​BFb0055930
go back to reference Schrijver A (1998) Theory of linear and integer programming. Wiley, ChichesterMATH Schrijver A (1998) Theory of linear and integer programming. Wiley, ChichesterMATH
go back to reference Tang K, Li X, Suganthan P, Yang Z, Weise T (2009) Benchmark functions for the cec’2010 special session and competition on large-scale global optimization. Technical report, University of Science and Technology of China Tang K, Li X, Suganthan P, Yang Z, Weise T (2009) Benchmark functions for the cec’2010 special session and competition on large-scale global optimization. Technical report, University of Science and Technology of China
go back to reference Turban E, Sharda R, Aronson J, King D (2010) Business intelligence, A managerial approach, 2nd edn. Prentice-Hall Turban E, Sharda R, Aronson J, King D (2010) Business intelligence, A managerial approach, 2nd edn. Prentice-Hall
Metadata
Title
Introduction
Author
Paulo Cortez
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-72819-9_1

Premium Partner