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Local Search Based Evolutionary Multi-Objective Optimization Algorithm for Constrained and Unconstrained Problems

机译：基于局部搜索的约束和无约束问题进化多目标优化算法

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Karthik Sindhya; Ankur Sinha; Kalyanmoy Deb; Kaisa Miettinen;
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年度 2013
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1. The mean-variance cardinality constrained portfolio optimization problem using a local search-based multi-objective evolutionary algorithm [J] . Chen Bili, Lin Yangbin, Zeng Wenhua, Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies . 2017,第2期

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2. Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization [J] . Segura Carlos, Coello Coello Carlos A., Miranda Gara, Annals of Operations Research . 2016,第1期

机译：使用多目标进化算法进行单目标约束和无约束优化
3. A multi-objective improved teaching-learning based optimization algorithm for unconstrained and constrained optimization problems [J] . Rao R., Patel V. International Journal of Industrial Engineering Computations . 2014,第1期

机译：一种基于多目标改进的基于教学的优化算法，用于无约束和约束优化问题
4. Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems [C] . Sindhya, K., Sinha, A., Deb, K., IEEE Congress on Evolutionary Computation;CEC '09 . 2009

机译：基于局部搜索的进化多目标优化算法
5. Study of hybrid strategies for multi-objective optimization using gradient based methods and evolutionary algorithms. [D] . Paez Bautista, Diego Fernando. 2013

机译：研究基于梯度的方法和进化算法的多目标优化混合策略。
6. Multi-Objective Control Optimization for Greenhouse Environment Using Evolutionary Algorithms [O] . Haigen Hu, Lihong Xu, Ruihua Wei, 2011

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7. Evolutionary pattern search algorithms for unconstrained and linearly constrained optimization [O] . W.E. Hart 2001

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Local Search Based Evolutionary Multi-Objective Optimization Algorithm for Constrained and Unconstrained Problems

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