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Chapter and Conference Paper
Path Planning for Mobile Robots Based on Improved Ant Colony Algorithm
In a two-dimensional environment, the traditional ant colony algorithm path planning is prone to problems, such as many turning points, easily falling into a local minimum, and the path is not smooth. To addre...
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Chapter and Conference Paper
Pruning Feedforward Neural Network Search Space Using Local Lipschitz Constants
Combination of backpropagation with global search algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO) has been deployed to improve the efficacy of neural network training. However, ...