baumhaus.digital/Design & Computation/Perspectives in Engineering/IOPS/Heuristics/Nature-inspired heuristics/Evolutionary optimization
Evolutionary Optimization mimics natural selection, like how animals evolve. Imagine a population of potential solutions. Those fitting the problem best (like the fittest animals) are chosen to 'reproduce.' They mix and mutate to create new solutions or 'offspring.' Over generations, this process 'evolves' better solutions, as unfit ones are discarded. It's a trial-and-error method using principles of evolution, effectively finding good solutions for complex problems by simulating survival of the fittest in a virtual environment.
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