The one-dimensional Ising model: mutation versus recombination

作者: Simon Fischer , Ingo Wegener

DOI: 10.1016/J.TCS.2005.04.002

关键词: AlgorithmMathematicsGenetic algorithmLocal search (optimization)CrossoverStatistical physicsIsing modelPeriodic boundary conditionsEvolutionary algorithmMutation (genetic algorithm)Boundary value problem

摘要: The investigation of genetic and evolutionary algorithms on Ising model problems gives much insight into how these work as adaptation schemes. one-dimensional with periodic boundary conditions has been considered a typical example clear building block structure suited well for two-point crossover. It claimed that GAs based recombination appropriate diversity-preserving methods by far outperform EAs mutation only. Here, rigorous analysis the expected optimization time proves mutation-based are surprisingly effective. (1 +λ) EA an λ-value is almost efficient GAs. Moreover, it proved specialized do even better this holds crossover one-point

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