235 citations · 404 across the 20 of their papers we have counts for
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cs.NE2021
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization
Yongxin Zhang, Jiahai Wang, Zizhen Zhang +1
Learning-based heuristics for solving combinatorial optimization problems has recently attracted much academic attention. While most of the existing works only consider the single…
cs.NE2021★ 24 cited
ASBSO: An Improved Brain Storm Optimization With Flexible Search Length and Memory-Based Selection
Yang Yu, Shangce Gao, Yirui Wang +2
Brain storm optimization (BSO) is a newly proposed population-based optimization algorithm, which uses a logarithmic sigmoid transfer function to adjust its search range during the…
cs.NE2020★ 2 cited
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization
Hong Wu, Jiahai Wang, Zizhen Zhang
Recently, a deep reinforcement learning method is proposed to solve multiobjective optimization problem. In this method, the multiobjective optimization problem is decomposed to a…