Convergence over Generations vs the Brute-Force Optimum
This lesson is part of the course
In this lesson
You chart how best and average fitness converge over 10 generations, enumerate all 32 values of x to find the true optimum, and check when the GA first reached it and how much work it needed.
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Lessons in this course
- Encoding Solutions as Bit Strings: BIN2DEC & SUMPRODUCT Locked
- Fitness with a Penalty: Scoring Over-Weight Backpacks Locked
- Roulette-Wheel Selection: Cumulative Shares & MATCH Locked
- Tournament Selection: Random Entrants, Fitter One Wins Locked
- Single-Point Crossover: LEFT, RIGHT & a Gene-Wise IF Locked
- Bit-Flip Mutation: Flip a Gene When u < pm Locked
- One Full Generation: Select, Cross, Mutate, Re-Score Locked
- Convergence over Generations vs the Brute-Force Optimum Locked