What people are saying - Write a review
We haven't found any reviews in the usual places.
On the Rules and Nature of Simulated Evolutionary Programming
The Philosophical Errors that Plague Both Evolutionary Theory
A Hybrid Technique
10 other sections not shown
Other editions - View all
adaptive applied approach Artificial Intelligence Asilomar Atmar backpropagation behavior Bremermann chosen CMAC competition complex Conf configuration vector constraints convergence cost function crossover direction set direction set method distribution encoding environment EP algorithm error evaluated evolutionary algorithm evolutionary programming evolutionary search evolving experiments expert systems fault tolerance finite finite state machines Fogel gene Genetic Algorithms given global gradient descent IEEE implemented input layer Machine Learning magnetic dipole magnitude mapping meta-evolutionary programming minima mobile manipulator mutation mutation strategies Neural Networks neuronal nodes number of iterations offspring operations optimum organisms output paradigm parameters parent vectors path planning pattern performance perturbation phenotypic probabilistic Proc random randomly representation response surface Robotics Rosenbrock function score search space Sebald selection sequences shown in Figure simulated annealing Simulated Evolution single solution specific stochastic direction set symbols technique tion topology training set Traveling Salesman Problem trials variance weights