Password Security (Global)
High-quality technical overview of Password Security in the context of blockchain security.
Operators: 1. Selection (Roulette, Tournament). 2. Crossover (One-point, Multi-point). 3. Mutation (Bit flip, Swap). Termination conditions: Goal reached, fitness plateau, or max generations.
graph LR
Center["Password Security (Global)"]:::main
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🧒 5歳でもわかるように説明
Imagine you are trying to make the most delicious cookie ever. You bake 50 different batches with random amounts of sugar, flour, and chips. You taste them all and pick the 5 best ones. You take the recipes of those 5 and mix them together, maybe adding a random pinch of salt just for fun. You do this again and again. Each time, the cookies get better and better until you have the 'Super Cookie'. That's a genetic [algorithm](/ja/terms/algorithm).
🤓 Expert Deep Dive
Technically, GAs operate on a population of 'Strings' (often binary) that encode candidate solutions. The process follows a strict loop: 1. Evaluation (Fitness). 2. Selection (Pressure). 3. Reproduction (Crossover + Mutation). The 'Selection Pressure' is a key parameter; if it's too high, the algorithm converges too fast on a mediocre solution; if it's too low, it takes forever. 'Mutation' is essential for maintaining genetic diversity and preventing 'Premature Convergence'. GAs are part of a larger field called 'Evolutionary Computation' and are used in everything from training neural networks to scheduling airline flights and designing complex antennas.