{'fraction_non_alphanumeric': 0.01733102253032929, 'fraction_numerical': 0.0, 'mean_word_length': 4.958762886597938, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
SHAPE OPTIMIZATION USING A GENETIC ALGORITHM AND FINITE ELEMENT METHOD

: Our study examines an algorithm for searching ideal shapes of parts according to their functions and lifetime. Due to finite element method (hereinafter referred to as the „FEM“) we obtain maximal equivalent stress at critical part of component or maximum deformation. This is the value of fitness function for genetic algorithm, which is searching for ideal shape of part according to requirements. The goal of the research is to create a universal algorithm that can be used to optimize any component.