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Level Set Methods and Fast Marching Methods: Evolving Interfaces in ...
James Albert Sethian
No preview available - 1999
Further Evolution of the Genetic Algorithm
Hybridization and Numerical Representation
20 other sections not shown
adaptive AIHC application approach arm-configurations binary f6 bit string call requests chapter chromosomes Conference on Genetic conformational parameters constraints crossover operator decoding described design variables domain dynamic edge encoding technique engineer evaluation function example expert system FIFO Figure genetic algorithm genetic operators Goldberg graph coloring problem greedy greedy algorithm Grefenstette heuristics hill climbing hybrid hydrocyclone implementation improve individual input iterated Machine Learning method Module Morgan Kaufmann mutation operator Nelder-Mead method netic algorithm neural networks nodes nonlinear numerical optimization one-point crossover OOGA operator fitness optimization problem optimization technique order-based output parameter settings parameter space performance permutation Prisoner's Dilemma probability produced random search randomly real number representation reproduction rithm robot Schaffer scheduling problem score sequence simplex simulated annealing solving steady-state Stochastic Hill Climbing strategy structure task tion trajectory Traveling Salesman Problem tutorial weight workcell