By Markus Wagner, Xiaodong Li, Tim Hendtlass
This publication constitutes the refereed court cases of the 3rd Australasian convention on synthetic existence and Computational Intelligence, ACALCI 2017, held in Geelong, VIC, Australia, in January/February 2017.
The 32 papers offered during this quantity have been rigorously reviewed and chosen from forty seven submissions. They have been geared up in topical sections named: synthetic existence and computational intelligence and optimization algorithms and functions.
Read or Download Artificial Life and Computational Intelligence: Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings PDF
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Extra resources for Artificial Life and Computational Intelligence: Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings
Each combination of options is referred to as a strategy. It is the purpose of this paper to discover and optimize strategies which feature useful P/L proﬁles. The optimization is based on the ﬁtness functions that are employed. We will use two diﬀerent functions which are discussed in the next section. These will be evaluated with the use of over one decade of historical option’s data. In the end we will have answered the question of what would have been the best option’s strategy to have traded over the past decade.
Recently weekly Equity Option Strategy Discovery and Optimization 31 expiration cycle options have become available but are not used in this study. This results in an option holding time of about 45 days, on average which is our desired holding period. In our study once a trade is initiated it is held until expiration. This results in being able to use the option pricing on entry from the data and expiration proﬁt/loss graph to determine option prices at exit (expiry). With the data available, there are a total of 138 trades.
The diﬀerence between them is that for the latter, we disabled the branch-back instruction, preventing loop structures from appearing in the artist code. Both these runs operate in greyscale mode. The starting dataset consists of 290 greyscale images of Chinese characters from Wiktionary, each 80×80. There is no particular reason for using this dataset other than that it contains images that could be feasibly generated within our drawing framework. We also conducted one additional run, Colour, to demonstrate the colourmode capability.
Artificial Life and Computational Intelligence: Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings by Markus Wagner, Xiaodong Li, Tim Hendtlass