{'fraction_non_alphanumeric': 0.014008620689655173, 'fraction_numerical': 0.0021551724137931034, 'mean_word_length': 5.635714285714286, '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}}
Non dominated sorting based multi objective GSA for solving optimal power flow problems

This paper presents the solution of different optimal power flow (OPF) problems using non dominated sorting based multi objective gravitational search algorithm (NSMOGSA). OPF problem is formulated as a non-linear constrained optimization problem where different objectives and various constraints have been considered into the formulation. To show the effectiveness of the proposed algorithm, it has been tested on a standard IEEE 30-bus system with two different individual objectives that reflect active power loss minimization and fuel cost minimization with valve point loading effect. The performance of NSMOGSA is compared with the results found by other meta-heuristic techniques reported in the recent literature. Numerical results demonstrate the tangible superiority of the proposed method in achieving the optimum OPF solution.