The elitist non-dominated sorting genetic algorithm with inheritance (i-NSGA-II) and its jumping gene adaptations for multi-objective optimization

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• 作者：Mithilesh Kumar ; Chandan Guria ; ^{cguria.che@gmail.com}
• 关键词：Inheritance ; Genetic algorithm ; Multi-objective optimization ; Jumping gene ; Oil-well drilling ; Biodiesel
• 刊名：Information Sciences
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：382-383
• 期：Complete
• 页码：15-37
• 全文大小：2061 K
• 卷排序：382

文摘

Initial random parent population with inheritance in NSGA-II (i-NSGA-II). Jumping gene (JG) adaptations in NSGA-II with inheritance. Improved speed of convergence to the global Pareto-optimal front. Metrics of multi-objective evolutionary algorithms. Multi-objective optimization of oil-well drilling and synthesis of biodiesel.