################################################################################################### # Config file for OptAinet # ------------------------ # # Please keep the parameters in the order shown to enable correct reading of the config file # # For more information on how these parameters affect the performance of the opt-aiNet algorithm, # please refer to the following publication: # de Castro, Leandro N., and Timmis, Jon, "An Artificial Immune Network for Multimodal Function # Optimisation", Proceedings of the IEEE Congress on Evolutionary Computation, 2002 # ################################################################################################### # Number of initial cells in the network: 20 # Number of clones generated for each network cell during clonal selection: 10 # Maximum number of algorithm iterations: 500 # Suppression threshold for network cell affinities: 0.2 # Clonal selection average error threshold: 0.001 # Proportion of current population size to be added for diversity at each iteration: [0.0,1.0] 0.4 # Affinity proportionate mutation parameter: 100.0 # Number of dimensions for optimisation problem: 2 # Lower and upper bounds on each dimension of the optimisation problem: , -2.0,2.0 -2.0,2.0