Semantic-Based Subtree Crossover Applied to Dynamic Problems

Semantic-Based Subtree Crossover Applied to Dynamic Problems

Although many real world problems are dynamic in nature, the study of Genetic Programming in dynamic environments is still immature. This paper investigates the application of some recently proposed semantic-based crossover operators on a series of dynamic problems. The operators studied include Sem...

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Hauptverfasser: Nguyen Quang Uy, Murphy, E., O'Neill, M., Nguyen Xuan Hoai
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Context
Crossover
Dynamic Problems
Genetic programming
Heuristic algorithms
Semantics
Sensitivity
Syntactics
Time series analysis
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Murphy, E.
O'Neill, M.
Nguyen Xuan Hoai
description Although many real world problems are dynamic in nature, the study of Genetic Programming in dynamic environments is still immature. This paper investigates the application of some recently proposed semantic-based crossover operators on a series of dynamic problems. The operators studied include Semantic Similarity based Crossover and the Most Semantic Similarity based Crossover. The experimental results show the advantage of using semantic-based crossovers when tackling dynamic problems.
doi_str_mv 10.1109/KSE.2011.20
format Conference Proceeding
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subjects Context
Crossover
Dynamic Problems
Genetic programming
Heuristic algorithms
Semantics
Sensitivity
Syntactics
Time series analysis
title Semantic-Based Subtree Crossover Applied to Dynamic Problems
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