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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Bozorgi, A., Bozorg-Haddad, O., Chu, X. (2018). Anarchic Society Optimization (ASO) Algorithm. In: Bozorg-Haddad, O. (eds) Advanced Optimization by Nature-Inspired Algorithms. Studies in Computational Intelligence, vol 720. Springer, Singapore. https://doi.org/10.1007/978-981-10-5221-7_4
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DOI: https://doi.org/10.1007/978-981-10-5221-7_4
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