Those contributions, written by means of the most important foreign researchers and practitioners of Genetic Programming (GP), discover the synergy among theoretical and empirical effects on real-world difficulties, generating a finished view of the cutting-edge in GP. themes during this quantity comprise: gene expression law, novel genetic types for glaucoma, inheritable epigenetics, combinators in genetic programming, sequential symbolic regression, process dynamics, sliding window symbolic regression, huge characteristic difficulties, alignment within the mistakes house, HUMIE winners, Boolean multiplexer functionality, and hugely dispensed genetic programming platforms. program components contain chemical strategy keep an eye on, circuit layout, monetary facts mining and bioinformatics. Readers will observe large-scale, real-world functions of GP to quite a few challenge domain names through in-depth displays of the newest and most vital effects.
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Extra info for Genetic Programming Theory and Practice XII (Genetic and Evolutionary Computation)
Our EMERGENT algorithm was able to identify a compact and biologically relevant model of POAG with individual genes that have not previously been directly tied to the disease. Our focus here was on the discovery of new and novel associations. There are several next steps. First, replication of the model, pieces of the model, the genes or the gene pathways in independent data would strengthen their validity. Second, additional biological validation through bioinformatics analysis of existing data and/or directed experimental studies in eye cells or animal models of glaucoma would greatly strengthen the result.
1999), the ULTRA operator (Spector and Helmuth 2013) was developed that converts nested expressions into linear representations, applies quasiuniform crossover, repairs the program parentheses, and converts the representation back into a tree structure. The need for the ‘R’ (signifying repair) in the ULTRA operator highlights a second disadvantage of tree representations: random manipulation of tree structures at the level of instructions and literals can easily make them syntactically invalid, and therefore controls must be in place to ensure that operations such as mutation, crossover and initialization result in executable programs.
1 Note that these definitions distinguish between the program, the resulting equation, and its fitness, unlike in traditional GP. 3 Inheritable Epigenetics in Genetic Programming 39 Classical GP (Koza 1992) represents individuals using tree structures, and most practitioners of symbolic regression follow this trend today, as White discovered in his community survey (White et al. 2012). In addition to tree representations, other methods have been proposed, for example stack-based GP (Salman et al.