👉 Evolutionary engineering is an innovative approach that draws inspiration from natural evolution processes, such as genetic variation, selection, and adaptation, to solve complex engineering problems. It involves the use of algorithms that mimic these biological mechanisms to iteratively improve solutions over successive generations. In this method, a population of potential solutions is generated, evaluated based on a fitness function that measures how well each solution meets the desired objectives, and then selected for reproduction. Through operations like crossover (combining parts of two solutions) and mutation (introducing random changes), new solutions are created, and the process repeats, gradually evolving towards optimal or near-optimal solutions. This approach is particularly powerful for tackling problems with large, complex search spaces where traditional methods may struggle, enabling engineers to discover novel and effective designs that might not have been apparent through conventional design processes.
