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Genetic Algorithm implementation using unity
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Genetic Algorithm Simulation
o A population of species explore and navigate island, and adjust choices to increase rewards (in this case finding a place with most number of trees while avoiding predators)
o A 5% chance of mutation enables a few to swim.As they discover the island across the sea, over generations entire species learns to migrate over to the new island.
o Species are made of DNA with 3 genes, one each for movement, rotation and ability to swim.
o Based on rewards for each generation, best half of the population is bred again, till the entire poplulation learns to adapt.
o A population of species explore and navigate island, and adjust choices to increase rewards (in this case finding a place with most number of trees while avoiding predators)
o A 5% chance of mutation enables a few to swim.As they discover the island across the sea, over generations entire species learns to migrate over to the new island.
o Species are made of DNA with 3 genes, one each for movement, rotation and ability to swim.
o Based on rewards for each generation, best half of the population is bred again, till the entire poplulation learns to adapt.
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