Paper Publications
- [1]Offspring regeneration method based on bi-level sampling for large-scale evolutionary multi-objective optimizationSwarm and Evolutionary Computation,Volume 75(101152):(中科院1区Top)
- [2]Kai Wu.Online Reconstruction of Complex Networks From Streaming Data[J].IEEE Transactions on Cybernetics,2022,52(6):5136 - 5147(中科院1区Top)
- [3]Kai Wu.An Evolutionary Multi-Objective Framework for Complex Network Reconstruction Using Community StructureIEEE Transactions on Evolutionary Computation,2021,25(2):247 - 261(中科院1区Top)
- [4]Xingxing Hao.A Unified Framework of Graph-based Evolutionary Multitasking Hyper-heuristicIEEE Transactions on Evolutionary Computation,2021,25(2):(中科院1区Top)
- [5]Xingxing Hao.Mathematical model and simulated annealing algorithm for Chinese high school timetabling problems under the new curriculum innovationFrontiers of Computer Science,2020,(中科院2区)
- [6]Xingxing Hao.A moving block sequence-based evolutionary algorithm for resource-constrained project scheduling problemsInternational Journal of Bio-Inspired Computation,2019,14(2):85-102
- [7]Meining Liu.A differential evolution algorithm for the resource investment problem with discounted cash flowsIEEE Conference on Automation Science and Engineering,2017,346-352
- [8]Xingxing Hao.An Improved Global Replacement Strategy for MOEA/D on Many- Objective Kanpsack ProblemsIEEE Conference on Automation Science and Engineering,2017,624-629
- [9]Xingxing Hao.A multiagent evolutionary algorithm with direct and indirect combined representation for constraint satisfaction problemsSoft Computing,2017,21(3):781-793(中科院3区)
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郝星星
PostalAddress:487eaee70190bc0c63d60b309ca5cf2007a0baa1559cd9cdfe0166814d6b2b5c780bbeb39f32f8b8ed771fc13db95f54850669be4740b69f18a0c596a74e8330f92ff606bb5c7ba694902de54616ae3a24e77312cffdcf54b2c77d5c27273c8a0d731cd5c878a1c274c73695b14c1ce4464720f3905d978a8f8fac3ae5981dd0
Email:c722e3bb3c41c685aeb601ad72d45a71f3933da058ae28969809f3ae2ba774b75ecfa4dd6232f94b78518496f1f1e7213092a1be842f310f1a1634d26d259eecf395ab47a9d7c68adee8b40f79a21c69c02d186db60053ca485fa758ccb3f4a8e87e49be5ef909ebd6351d56133b9c5c2234502bbea70f2a48e80d1acc4325fb
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