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2018 | OriginalPaper | Buchkapitel

4. Anarchic Society Optimization (ASO) Algorithm

verfasst von : Atiyeh Bozorgi, Omid Bozorg-Haddad, Xuefeng Chu

Erschienen in: Advanced Optimization by Nature-Inspired Algorithms

Verlag: Springer Singapore

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Abstract

Due to limited resources and equipment in most engineering projects, it is necessary to use optimization techniques. Older optimization techniques, including derivative and other mathematical methods may not be practical to new complex problems. Therefore new optimization algorithms are needed. In the past decades many algorithms were developed and used for different optimization problems, which can be divided into three categories including classic, evolutionary and heuristic algorithms. The evolutionary and heuristic algorithms which are used widely in recent years are based on animals’ life. In this chapter, one of the heuristic algorithms named Anarchic Society Optimization (ASO) algorithm based on human societies, is introduced. After a brief literature review of the ASO algorithm, more technical details on this method and its performance are described.

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Literatur
Zurück zum Zitat Ahmadi-Javid, A. (2011). Anarchic Society Optimization: A human-inspired method. In IEEE Congress on Evolutionary Computation (CEC) (pp. 2586–2592), New Orleans, LA. Ahmadi-Javid, A. (2011). Anarchic Society Optimization: A human-inspired method. In IEEE Congress on Evolutionary Computation (CEC) (pp. 2586–2592), New Orleans, LA.
Zurück zum Zitat Ahmadi-Javid, A., & Hooshangi-Tabrizi, P. (2012). An Anarchic Society Optimization Algorithm for a flow-shop scheduling problem with multiple transporters between successive machines. International Conference on Industrial Engineering and Operations Management (ICIEOM), Istanbul, Turkey, 3–6 July. Ahmadi-Javid, A., & Hooshangi-Tabrizi, P. (2012). An Anarchic Society Optimization Algorithm for a flow-shop scheduling problem with multiple transporters between successive machines. International Conference on Industrial Engineering and Operations Management (ICIEOM), Istanbul, Turkey, 3–6 July.
Zurück zum Zitat Ahmadi-Javid, A., & Hooshangi-Tabrizi, P. (2015). A mathematical formulation and anarchic society optimisation algorithms for integrated scheduling of processing and transportation operations in a flow-shop environment. International Journal of Production Research, 53(19), 5988–6006. Ahmadi-Javid, A., & Hooshangi-Tabrizi, P. (2015). A mathematical formulation and anarchic society optimisation algorithms for integrated scheduling of processing and transportation operations in a flow-shop environment. International Journal of Production Research, 53(19), 5988–6006.
Zurück zum Zitat Nettlau, M. (2000). A short history of anarchism (1st ed.). Freedom Press. ISBN-13: 978-0900384899. Nettlau, M. (2000). A short history of anarchism (1st ed.). Freedom Press. ISBN-13: 978-0900384899.
Zurück zum Zitat Shayeghi, H., & Dadashpour, J. (2012). Anarchic society optimization based PID control of an Automatic Voltage Regulator (AVR) system. Electrical and Electronic Engineering, 2(4), 199–207. Shayeghi, H., & Dadashpour, J. (2012). Anarchic society optimization based PID control of an Automatic Voltage Regulator (AVR) system. Electrical and Electronic Engineering, 2(4), 199–207.
Zurück zum Zitat Woodcook, G. (2004). Anarchism. Toronto: Higher Education Division, University of Toronto Press. ISBN 13: 978-1551116297. Woodcook, G. (2004). Anarchism. Toronto: Higher Education Division, University of Toronto Press. ISBN 13: 978-1551116297.
Metadaten
Titel
Anarchic Society Optimization (ASO) Algorithm
verfasst von
Atiyeh Bozorgi
Omid Bozorg-Haddad
Xuefeng Chu
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-5221-7_4

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