Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Buchtitelbild

2019 | OriginalPaper | Buchkapitel

1. Introduction

verfasst von : Mohammad Fathi, Hassan Bevrani

Erschienen in: Optimization in Electrical Engineering

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Over the years, making the best decision among a number of possible choices has been a challenging issue. The issue arises from the complexity of the decision criteria and the extent of possible choices. Optimization is the knowledge of decision-making. Scientists and engineers have always tried to develop techniques and tools to overcome the complexity of optimization.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Nächstes Kapitel Linear Algebra Review
Literatur
1.
D.G. Luenberger, Y. Ye, Linear and Nonlinear Programming (Springer, Berlin, 2016)MATH
2.
M.S. Bazaraa, J.J. Jarvis, H.D. Sherali, Linear Programming and Network Flows (Wiley, Hoboken, 2009)MATH
3.
D.P. Bertsekas, Nonlinear Programming (Athena Scientific, Belmont, 1999)
4.
L.A. Wolsey, Integer Programming (Wiley, Hoboken 1998)MATH
5.
H.M. Salkin, K. Mathur, Foundation of Integer Programming (North-Holland, New York, 1989)MATH
6.
D.P. Bertsekas, E. Nedic, A. Ozdaglar, Convex Analysis and Optimization (Athena Scientific, Nashua, 2003)
7.
S. Boyd, L. Vandenberghe, Convex Optimization (Cambridge University Press, Cambridge, 2004)MATH
8.
R. Duffin, E. Peterson, C.Zener, Geometric Programming–Theory and Application (Wiley, New York, 1967)MATH
9.
A.I. Galushkin, Neural Networks Theory (Springer, New York, 2007)MATH
10.
J. Kennedy, R. Eberhart, Particle swarm optimization. Proceedings of the IEEE International Conference on Neural Networks, vol. 4 (IEEE, Perth, 1995), pp. 1942–1948
11.
F. Rothlauf, Representations for Genetic and Evolutionary Algorithms (Springer, New York, 2006)MATH
12.
S. Boyda, S.J. Kim, L. Vandenberghe, A. Hassibi, A tutorial on geometric programming. Optim. Eng. 8(1), 67–127 (2007)MathSciNetMATH
13.
Y. Nesterov, A. Nemirovsky, Interior Point Polynomial Algorithms in Convex Programming (SIAM, Philadelphia, 1994)
14.
K.O. Kortanek, X. Xu, Y. Ye, An infeasible interior-point algorithm for solving primal and dual geometric programs. Math. Program. 76(1), 155–181 (1996)MathSciNetMATH
15.
16.
17.
18.
S.S. Rao, Engineering Optimization: Theory and Practice (Wiley, Hoboken, 2009)
19.
M. Baker, Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (IET, Hertfordshire, 2013)
20.
J.A. Taylor, Convex Optimization of Power Systems (Cambridge University Press, Cambridge, 2015)
21.
L. Rabiner, Linear program design of finite impulse response (FIR) digital filters. IEEE Trans. Audio Electroacoust. 20(4), 280–288 (1972)
22.
S.-P. Wu, S. Boyd, L. Vandenberghe, FIR filter design via spectral factorization and convex optimization. Applied and Computational Control, Signals, and Circuits (Springer, Berlin, 1999), pp. 215–245
23.
H. Lebret, S. Boyd, Antenna array pattern synthesis via convex optimization. IEEE Trans. Signal Process. 45(3), 526–532 (1997)
24.
H. Trevor, R. Tibshirani, J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer, New York, 2009)MATH
25.
L.I. Rudin, S. Osher, E. Fatemi, Nonlinear total variation based noise removal algorithms. Phys. D: Nonlinear Phenom. 60(1–4), 259–268 (1992)MathSciNetMATH
26.
W. Zhao, R. Chellappa, P. J. Phillips, A. Rosenfeld, Face recognition: a literature survey. ACM Comput. Surv. 35(4), 399–458 (2003)
27.
Y. Gong, Speech recognition in noisy environments: a survey. Speech Commun. 16(3), 261–291 (1995)
28.
P. Stoica, T. McKelvey, J. Mari, MA estimation in polynomial time. IEEE Trans. Signal Process. 48(7), 1999–2012 (2000)MATH
29.
B. Dumitrescu, I. Tabus, P. Stoica, On the parameterization of positive real sequences and MA parameter estimation. IEEE Trans. Signal Process. 49(11), 2630–2639 (2001)MathSciNetMATH
30.
T.N. Davidson, Z.-Q. Luo, K.M. Wong, Design of orthogonal pulse shapes for communications via semidefinite programming. IEEE Trans. Signal Process. 48(5), 1433–1445 (2000)
31.
A. Dua, K. Medepalli, A.J. Paulraj, Receive antenna selection in MIMO systems using convex optimization. IEEE Trans. Wirel. Commun. 5(9), 2353–2357 (2006)
32.
G. Sell, M. Slaney, Solving demodulation as an optimization problem. IEEE Trans. Audio Speech Lang. Process. 18(8), 2051–2066 (2010)
33.
S.L. Sabat, K.S. Kumar, S.K. Udgata, Differential evolution and swarm intelligence techniques for analog circuit synthesis. Proceeding of the World Congress on Nature and Biologically Inspired Computing (IEEE, Coimbatore, 2009), pp. 469–474
34.
G. Alpaydin, S. Balkir, G. Dundar, An evolutionary approach to automatic synthesis of high-performance analog integrated circuits. IEEE Trans. Evol. Comput. 7(3), 240–252 (2003)
35.
B. Liu, G. Gielen, F.V. Fernández, Automated design of analog and high-frequency circuits. Proceeding of the Fundamentals of Optimization Techniques in Analog IC Sizing. Studies in Computational Intelligence (Springer, Berlin, 2014)
36.
S. Boyda, S.J. Kim, D. Patil, M. Horowitz, Digital circuit optimization via geometric programming. Oper. Res. 53(6), 899–932 (2005)MathSciNetMATH
37.
E. Tlelo-Cuautle, I. Guerra-Gómez, M.A. Duarte-Villaseñor, Applications of evolutionary algorithms in the design automation of analog integrated circuits. J. Appl. Sci. 10(17), 1859–1872 (2010)
38.
M. Fakhfakh, Y. Cooren, A. Sallem, M. Loulou, P. Siarry, Analog circuit design optimization through the particle swarm optimization technique. Analog Integr. Circuits Signal Process. 63(1), 71–82 (2010)
39.
P.P. Kumar, K. Duraiswamy, A.J. Anand, An optimized device sizing of analog circuits using genetic algorithm. Eur. J. Sci. Res. 69(3), 441–448 (2012)
40.
D. Nam, Y.D. Seo, L.J. Park, C.H. Park, B. Kim, Parameter optimization of an on-chip voltage reference circuit using evolutionary programming. IEEE Trans. Evol. Comput. 5(4), 414–421 (2001)
41.
P. Nintanavongsa, U. Muncuk, D.R. Lewis, K.R. Chowdhury, Design optimization and implementation for RF energy harvesting circuits. IEEE J. Emerging Sel. Top. Circuits Syst. 2(1), 24–33 (2012)
42.
D. Bertsekas, R.G. Gallager, Data Networks (Prentice Hall, New Jersey, 1991)MATH
43.
Y. Su, F. Fu, S. Guo, Resource allocation in communications and computing. Can. J. Electr. Comput. Eng. 2013, 328395 (2013)MathSciNet
44.
A. Ephremides, S. Verdu, Control and optimization methods in communication network problems. IEEE Trans. Autom. Control 9(1), 930–942 (1989)MathSciNetMATH
45.
Z. Han, K.J.R. Liu, Resource Allocation for Wireless Networks: Basics, Techniques, and Applications (Cambridge University Press, Cambridge, 2008)
46.
M. Fathi, H. Taheri, M. Mehrjoo, Cross-layer joint rate control and scheduling for OFDMA wireless mesh networks. IEEE Trans. Veh. Technol. 59(8), 3933–3941 (2010)
47.
M. Fathi, H. Taheri, M. Mehrjoo, Utility maximisation in channel-aware and queue-aware orthogonal frequency division multiple access scheduling based on arrival rate control. IET Commun. 6(2), 235–241 (2012)MathSciNetMATH
48.
F. Kelly, Charging and rate control for elastic traffic. Eur. Trans. Telecommun. 8(1), 33–37 (1997)
49.
W. Stanczak, M. Wiczanowski, H. Boche, Fundamentals of Resource Allocation in Wireless Networks: Theory and Algorithms (Springer, Berlin, 2008)MATH
50.
S. Shakkottai, T.S. Rappaport, P.C. Karlsson, Cross-layer design for wireless networks. IEEE Commun. Mag. 41(10), 74–80 (2003)
51.
M. Chiang, S.H. Low, A.R. Calderbank, J.C. Doyle, Layering as optimization decomposition: a mathematical theory of network architectures. Proc. IEEE 95(1), 255–312 (2007)
52.
M. Fathi, E. Karipidis, Distributed allocation of subcarrier, power and bit-level in multicell orthogonal frequency-division multiple-access networks. IET Commun. 8(6), 781–788 (2014)
53.
S. Sharifi, M. Fathi, Underlay device to device communication with imperfect interference channel knowledge. Wirel. Pers. Commun. 101(2), 619–634 (2018)
54.
M. Fathi, V. Maihami, Operational state scheduling of relay nodes in two-tiered wireless sensor networks. IEEE Syst. J. 9(3), 686–693 (2015)
55.
B. Chowdhury, S. Rahman, A review of recent advances in economic dispatch. IEEE Trans. Power Syst. 5(4), 1248–1259 (1990)MathSciNet
56.
M. Huneault, F.D. Galiana, A survey of the optimal power flow literature. IEEE Trans. Power Syst. 6(2), 762–770 (1991)
57.
J. Zhu, Optimization of Power System Operation (Wiley-IEEE Press, Hoboken, 2015)
58.
M.A. Abido, Environmental/economic power dispatch using multiobjective evolutionary algorithms. IEEE Trans. Power Syst. 18(4), 1529–1537 (2003)
59.
M.R. AlRashidi, M.E. El-Hawary, A survey of particle swarm optimization applications in electric power systems. IEEE Trans. Evol. Comput. 13(4), 913–918 (2009)
60.
M. Fathi, H. Bevrani, Adaptive energy consumption scheduling for connected microgrids under demand uncertainty. IEEE Trans. Power Deliv. 28, 1576–1583 (2013)
61.
M. Fathi, H. Bevrani, Statistical cooperative power dispatching in interconnected microgrids. IEEE Trans. Sustain. Energy 4, 586–593 (2013)
62.
S. Frank, I. Steponavice, S. Rebennack, Optimal power flow: a bibliographic survey I. Energy Syst. 3(3), 221–258 (2012)
63.
S. Frank, I. Steponavice, S. Rebennack, Optimal power flow: a bibliographic survey II. Energy Syst. 3(3), 259–289 (2012)
64.
O. Gandhi, C.D. Rodríguez-Gallegos, D. Srinivasan, Review of optimization of power dispatch in renewable energy system. Proceedings of the IEEE Innovative Smart Grid Technologies (IEEE, Melbourne, 2016), pp. 250–257
65.
M. Fathi, H. Bevrani, Regulating power management in interconnected microgrids. J. Renew. Sustain. Energy 9(5), 055502 (2017)
66.
M. Fathi, A spectrum allocation scheme between smart grid communication and neighbor communication networks. IEEE Syst. J. 12(1), 465–472 (2018)
67.
P. Hajimirzaee, M. Fathi, N.N. Qader, Quality of service aware traffic scheduling in wireless smart grid communication. Telecommun. Syst. 66(2), 233–242 (2017)
68.
H. Bevrani, Robust Power System Frequency Control (Springer, Switzerland, 2014)MATH
69.
H. Bevrani, T. Hiyama, Intelligent Automatic Generation Control (CRC Press, New York, 2011)
70.
H. Bevrani, B. Francois, T. Ise, Microgrid Dynamics and Control (Wiley, Hoboken, 2017)
71.
H. Bevrani, S. Shokoohi, An intelligent droop control for simultaneous voltage and frequency regulation in islanded microgrids. IEEE Trans. Smart Grid 4(3), 1505–1513 (2013)
72.
H. Bevrani, M. Watanabe, Y. Mitani, Power System Monitoring and Control (IEEE-Wiley Press, Hoboken, 2014)
Metadaten
Titel
Introduction
verfasst von
Mohammad Fathi
Hassan Bevrani
Copyright-Jahr
2019
Buch
Optimization in Electrical Engineering

Print ISBN: 978-3-030-05308-6

Electronic ISBN: 978-3-030-05309-3

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-05309-3_1