Exploring systems of reproduction through modification of a genetic algorithm aimed at optimizing molecular geometry
DOI:
https://doi.org/10.14288/cjur.v3i1.201780Abstract
The main objective of this study was to compare the efficiency of various evolutionary systems in maximizing the fitness of the population upon which they act. This was accomplished through the development of a genetic algorithm to optimize the chemical structure of carbon dioxide (CO2), which has a precisely known solution. This allowed for the comparison of efficacy of different versions of the algorithm, each based on a different evolutionary strategy. Each breeding system represents a distinct approach to reproduction, generating unique evolutionary curves; however, the population fitnesses converge toward the optimized solution at approximately the same time. It is concluded that for the given problem all versions are practical, but for more complex problems the path taken to optimization might make one method preferable.
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