Title :
Duplicate genotypes in a genetic algorithm
Author_Institution :
Nat. Key Centre for Social Applications of GIS, Adelaide Univ., SA, Australia
Abstract :
In a simple genetic algorithm (GA), building-block accumulation stops when the population converges. Premature convergence is a clear indication that this accumulation process has occurred insufficiently. In such a case, the final population members will not contain the best combination of building blocks. It is common practice to remove duplicate-population genotypes in a steady-state GA. This allows the process of building-block accumulation to continue for a greater period of time compared with a regular GA and typically results in better final population solutions. A striking observation is the fact that duplicates degrade GA quality early in a GA evolution run. The results show that diversity loss through duplicates is a serious weakness in the steady-state GA model
Keywords :
convergence; genetic algorithms; losses; algorithm quality degradation; building-block accumulation; diversity loss; duplicate genotypes; evolution; final population solutions; population convergence; premature convergence; steady-state genetic algorithm; Australia; Degradation; Encoding; Genetic algorithms; Geographic Information Systems; Steady-state; Tagging; Testing;
Conference_Titel :
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4869-9
DOI :
10.1109/ICEC.1998.700153