Evolutionary Computation. Evolutionary computation is a fascinating subfield of artificial intelligence and soft computing that draws inspiration from biological evolution to solve complex optimization problems. Here’s a deeper dive into its key aspects: Core Concepts Population-Based Approach : Evolutionary computation involves a population of potential solutions to a given problem. These solutions evolve over time through processes analogous to natural selection and genetic variation. Fitness Evaluation : Each candidate solution is evaluated based on a fitness function, which measures how well it solves the problem at hand. The better the solution, the higher its fitness score. Selection : Solutions with higher fitness scores are more likely to be selected for reproduction. This mimics the natural selection process where the fittest individuals are more likely to pass on their genes.
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