Feature Request: Diversity preservation mechanisms

[zs001-agi]

Feature Request: Diversity Preservation

First, thanks for the great library! PyGAD is an excellent GA framework.

I've been working on a related project (asi-evolve) that focuses specifically on diversity preservation in evolutionary algorithms. One challenge I've noticed in standard GA implementations is premature convergence — the population converges to a local optimum before exploring the search space adequately.

Proposed Feature

Add built-in diversity preservation mechanisms:

1. Fitness sharing — reduce fitness of similar individuals
2. Niching — maintain subpopulations in different regions
3. Crowding — replace similar parents with offspring

Reference Implementation

I've implemented these in asi-evolve under the EvolutionaryAlgorithm class. The key method is _calculate_diversity() which tracks population diversity and auto-adjusts mutation rates when diversity drops.

Would this be a welcome addition to PyGAD? I'd be happy to contribute a PR.