Optimization of the core configuration design using a hybrid artificial intelligence algorithm for research reactors

A comparative study on multiobjective metaheuristics for solving constrained in-core fuel management optimisation problems

“…The first application of a state-of-the-art multiobjective metaheuristic to an MICFMO problem instance that we could find, appeared in 2009 in a paper by Hedayat et al [29] in which the authors applied the NSGA-II. A 115 parameter-tuning study for their application of the NSGA-II was performed in the paper, and the final optimisation results were compared to a reference solution.…”

“…Note that, wherever the scramble operator is used, a subset of size 4 was selected which does not necessarily contain contiguous positions. Recall that Hedayat et al [29] were the first to apply the NSGA-II to the MICFMO problem. In their work, they also adopted a permutation-based encoding; however, they implemented the traditional two-point crossover operator followed by a repair procedure in order to create valid permutations.…”