li juan
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nameli juan
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titlepostdoc
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addressroom 505, state key laboratory of explosion science and technology, school of mechatronical engineering, beijing institute of technology, beijing, china
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tel
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emailjuanli@bit.edu.cn
research interests
swarm intelligence
multi-objective optimization
uncertain optimization
distributed task assignment
academic achievements
journal paper:
1. jie chen, juan li, and bin xin*. dmoea-εc: decomposition-based multi-objective evolutionary algorithm with the ε-constraint framework [j]. ieee transactions on evolutionary computation, 2017, 21(5): 714–730. (sci, if=8.124)
2. juan li, bin xin*, jie chen, and panos m. pardalos. noise-tolerant techniques for decomposition-based multi-objective evolutionary algorithms[j]. ieee transactions on cybernetics, 2020, 50(2): 2274-2287. (sci, if=10.387)
3. juan li, panos m. pardalos, bin xin*, and jie chen. the bi-objective critical node detection problem with minimum pairwise connectivity and cost: theory and algorithms[j]. soft computing, 2019, volume 23, issue 23, pp 12729–12744. (sci, if=2.784)
4. juan li, bin xin*, panos m. pardalos, and jie chen. solving bi-objective uncertain stochastic resource allocation problems by the cvar-based risk measure and decomposition-based multi-objective evolutionary algorithms[j], annals of operations research, 2019, early access. (sci, if=2.284)
5. juan li*, jie li, panos m. pardalos, and chengwei yang. dmaoea-εc: decomposition-based many-objective evolutionary algorithm with the ε-constraint framework[j], information sciences, 2020, accepted. (sci, if=5.524)
conference paper:
1. juan li, jie chen, bin xin*, lihua dou. solving multi-objective multi-stage weapon target assignment problem via adaptive nsga-ii and adaptive moea/d: a comparison study [c]. proceedings of the ieee congress on evolutionary computation (cec), 2015: 3132-3139. (ei)
2. juan li, jie chen, bin xin*. efficiently solving multi-objective dynamic weapon target assignment problems by nsga-ii [c]. proceedings of the chinese control conference (ccc), 2015: 2556-2561. (ei)
3. juan li, jie chen, bin xin*, lihua dou, zhihong peng. solving the uncertain multi-objective multi-stage weapon target assignment problem via moea/d-awa [c]. proceedings of the world congress on computational intelligence (wcci), 2016: 4934-4941. (ei)