Which statement is NOT correct about Genetics Algorithm (GA)

Question

BlackTom AI · Accepted Answer

Genetic algorithms (GAs) are population-based, stochastic search methods that rely on an initial population (generation-zero), selection, crossover, and mutation to explore a fitness landscape. Key knowledge points: (1) GAs are heuristic — no mathematical guarantee of finding a global optimum; (2) they work well on large, complex search spaces because they explore many candidates in parallel; (3) they only need a fitness function (not gradients), so they suit complex or non-differentiable objectives; (4) the initial population and parameter settings (selection pressure, crossover, mutation rate) influence search trajectory and convergence.

Step-by-step reasoning:
1. A GA begins with generation-zero: a set of candidate solutions. These candidates supply the genetic material (alleles) that selection and crossover recombine. 
2. Selection favors fitter individuals; crossover recombines their parts; mutation introduces new variations. The search trajectory is therefore seeded by the contents of generation-zero.
3. If generation-zero lacks crucial building blocks or diversity, the GA may converge prematurely to suboptimal regions. Although mutation can introduce new alleles, low mutation rates or strong selection can prevent escape from poor basins.
4. Consequently, the final solution found by a GA can and often does depend on the initial population; different random seeds or initial populations can lead to different outcomes.

Why the correct answer is correct:
The statement "GA final answer doesn’t depend on the generation-zero selection" is NOT correct because empirically and theoretically the initial population affects exploration and the likelihood of finding the global optimum.

Why other options are correct (thus not the NOT-correct choice):
- "GA approach doesn’t guarantee optimum solution": True — GAs are heuristics without guaranteed global optimality.
- "GA is good for large search space problems": True — population-based search scales to large spaces.
- "GA is a good option when fitness function is complex": True — only fitness evaluation is required.
- "Answer not given.": Not applicable here.

Conclusion: The statement that is NOT correct is "GA final answer doesn’t depend on the generation-zero selection," which matches the provided answer.

Which statement is NOT correct about Genetics Algorithm (GA)单项选择题

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