GGA: A modified genetic algorithm with gradient-based local search for solving constrained optimization problems

标题
GGA: A modified genetic algorithm with gradient-based local search for solving constrained optimization problems
作者
关键词
Evolutionary algorithms, Hybrid genetic algorithms, Heuristics, Constrained optimization, Gradient descent
出版物
INFORMATION SCIENCES
Volume 547, Issue -, Pages 136-162
出版商
Elsevier BV
发表日期
2020-08-19
DOI
10.1016/j.ins.2020.08.040

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