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Genetic algorithm which repairs infeasible solutions by moving them into the closest part of the feasible solution area in solution space at each iteration
Genetic algorithm which repairs infeasible solutions by moving them into the closest part of the feasible solution area in solution space at each iteration
A computer implemented method for optimising an internal combustion engine operation using a genetic algorithm (GA) having an initial parent population contained within a search space the method comprising the steps of: determining an initial feasible solution space within the search space of the GA; creating a new child population from the initial parent population; determining for a child/individual in the child population if the child is within the feasible solution space, and if the child/individual is outside of the feasible solution space move/bring the child within the feasible solution space.
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