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This paper proves the capability of the bees algorithm to solve complex parameter optimization problems for robot manipulator control. Two applications are presented. The first case considers the modelling of the inverse kinematics of an articulated robot arm using neural networks. The weights of the connections between the nodes need to be set so as to(More)
This paper introduces ANNE, a new algorithm for evolution of neural network classifiers. Different from standard divide and conquer approaches, the proposed algorithm evolves simultaneously the input feature vector, the network topology and the weights. The use of the embedded approach is also novel in an evolutionary feature selection paradigm. Tested on(More)