Parallel linear genetic programming for multi-class classification

Genetic Programming and Evolvable Machines, no. 3 (2012): 275-304

Cited by: 8|Views12
WOS SCOPUS EI

Abstract:

Motivated by biological inspiration and the issue of instruction disruption, we develop a new form of Linear Genetic Programming (LGP) called Parallel LGP (PLGP) for classification problems. PLGP programs consist of multiple lists of instructions. These lists are executed in parallel after which the resulting vectors are combined to produ...More

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