Browsing by Subject "Genetic Algorithms"
Now showing items 1-4 of 4
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Efficient Neural Architecture Search using Genetic Algorithm
(2022-08)NASNet and AmoebaNet are state-of-the-art neural architecture search systems that were able to achieve better accuracy than state-of-the-art human-made convolutional neural networks. Despite the innovation of the NASNet ... -
NURTURING PROMOTES THE EVOLUTION OF LEARNING IN CHANGING ENVIRONMENTS
(2015-08-14)An agent may interact with its environment and learn complex tasks based on evaluative feedback through a process known as reinforcement learning. Reinforcement learning requires exploration of unfamiliar situations, ... -
Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms
(2016-05)Many approaches to applying Genetic Algorithms (GAs) to Nondeterministic Polynomial time Complete (NPC) problems involve population members encoded directly from the problem solution space. While this technique enables ... -
Promoting Speciation Through Variable Dominance in Genetic Algorithms
(2020-05)Genetic algorithms are a class of search algorithms that have been around since the 1970s. Despite their age, genetic algorithms still see a great deal of use in various applications and so many efforts have gone into ...