When and why metaheuristics researchers can ignore “No Free Lunch” theorems

@article{McDermott2019WhenAW,
  title={When and why metaheuristics researchers can ignore “No Free Lunch” theorems},
  author={James McDermott},
  journal={Metaheuristics},
  year={2019},
  pages={1-18}
}
The No Free Lunch (NFL) theorem for search and optimisation states that averaged across all possible objective functions on a fixed search space, all search algorithms perform equally well. [] Key Result In conclusion, it offers a novel view of the real meaning of NFL, incorporating the anthropic principle and justifying the position that in many common situations researchers can ignore NFL.

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