Search Results - "Ke, Liangjun"

Large-Scale Traffic Signal Control Using a Novel Multiagent Reinforcement Learning by Wang, Xiaoqiang, Ke, Liangjun, Qiao, Zhimin, Chai, Xinghua

“…Finding the optimal signal timing strategy is a difficult task for the problem of large-scale traffic signal control (TSC). Multiagent reinforcement learning…”
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A brain storm optimization approach for the cumulative capacitated vehicle routing problem by Ke, Liangjun

“…The cumulative capacitated vehicle routing problem (CCVRP) is a combinatorial optimization problem which aims to minimize the sum of arrival times at…”
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Hybridization of Decomposition and Local Search for Multiobjective Optimization by Liangjun Ke, Qingfu Zhang, Battiti, Roberto

“…Combining ideas from evolutionary algorithms, decomposition approaches, and Pareto local search, this paper suggests a simple yet efficient memetic algorithm…”
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MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony by Liangjun Ke, Qingfu Zhang, Battiti, Roberto

“…Combining ant colony optimization (ACO) and the multiobjective evolutionary algorithm (EA) based on decomposition (MOEA/D), this paper proposes a…”
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A two-phase metaheuristic for the cumulative capacitated vehicle routing problem by Ke, Liangjun, Feng, Zuren

“…The cumulative capacitated vehicle routing problem, which aims to minimize the total arrival time at customers, is a relatively new variant of vehicle routing…”
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PLBP: An effective local binary patterns texture descriptor with pyramid representation by Qian, Xueming, Hua, Xian-Sheng, Chen, Ping, Ke, Liangjun

“…Local binary pattern (LBP) is an effective texture descriptor which has successful applications in texture classification and face recognition. Many extensions…”
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An efficient ant colony optimization approach to attribute reduction in rough set theory by Ke, Liangjun, Feng, Zuren, Ren, Zhigang

“…Attribute reduction in rough set theory is an important feature selection method. Since attribute reduction is an NP-hard problem, it is necessary to…”
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Adaptive collaborative optimization of traffic network signal timing based on immune-fireworks algorithm and hierarchical strategy by Qiao, Zhimin, Ke, Liangjun, Zhang, Gewei, Wang, Xiaoqiang

“…In contemporary urban areas, the construction speed of urban roads lags far behind the growth rate of the number of vehicles. The traffic delay caused by…”
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Ants can solve the team orienteering problem by Ke, Liangjun, Archetti, Claudia, Feng, Zuren

“…The team orienteering problem (TOP) involves finding a set of paths from the starting point to the ending point such that the total collected reward received…”
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Attentional Factorized Q-Learning for Many-Agent Learning by Wang, Xiaoqiang, Ke, Liangjun, Fu, Qiang

“…The difficulty of Multi-Agent Reinforcement Learning (MARL) increases with the growing number of agents in system. The value function decomposition is an…”
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Intelligent collision avoidance strategy for all-electric propulsion GEO satellite orbit transfer control by Yang, Yue, Hao, Yuanhui, Ke, Liangjun, Liu, Jiangong, Huang, Jingqi

“…The all-electric propulsion Geostationary Earth Orbit (GEO) satellite, characterized by its low launch cost, high precision control, and long operational…”
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Optimal Energy-Delay Scheduling for Energy-Harvesting WSNs With Interference Channel via Negatively Correlated Search by Jiao, Dongbin, Yang, Peng, Fu, Liqun, Ke, Liangjun, Tang, Ke

“…Network resource allocation is an important issue for designing energy-harvesting wireless sensor networks (EH-WSNs). This article considers the capacity…”
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Cooperatively pursuing a target unmanned aerial vehicle by multiple unmanned aerial vehicles based on multiagent reinforcement learning by Wang, Xiaoqiang, Xuan, Shuzhe, Ke, Liangjun

“…This article considers a pursuit‐evasion problem, in which multiple unmanned aerial vehicles (multi‐UAVs) are required to cooperatively pursue a moving target…”
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Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channels by Jiao, Dongbin, Ke, Liangjun, Liu, Shengbo, Chan, Felix T S

“…In this work, we investigate the capacity allocation problem in the energy harvesting wireless sensor networks (WSNs) with interference channels. For the fixed…”
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An Estimation of Distribution Algorithm Based Dynamic Clustering Approach for Wireless Sensor Networks by Jiao, Dongbin, Ke, Liangjun, Yang, Weibo, Li, Jing

“…The design of energy efficiency is a very challenging issue for wireless sensor networks (WSNs). Clustering provides an effective means of tackling the issue…”
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Fireworks algorithm for the multi-satellite control resource scheduling problem by Zhenbao Liu, Zuren Feng, Liangjun Ke

“…In this study, fireworks algorithm (FWA) for the multi-satellite control resource scheduling problem (MSCRSP) is presented. FWA is a meta-heuristic method and…”
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Two-Stage Robust Optimization for the Orienteering Problem with Stochastic Weights by Feng, Zuren, Terada, Kenji, Karungaru, Stephen, Chan, Felix T. S., Shang, Ke, Ke, Liangjun

“…In this paper, the two-stage orienteering problem with stochastic weights is studied, where the first-stage problem is to plan a path under the uncertain…”
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A cooperative approach between metaheuristic and branch-and-price for the team orienteering problem with time windows by Liangjun Ke, Huimin Guo, Qingfu Zhang

“…The team orienteering problem with time windows (TOPTW) is a well studied routing problem. In this paper, a cooperative algorithm is proposed. It collaborates…”
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An improved fireworks algorithm for the capacitated vehicle routing problem by YANG, Weibo, KE, Liangjun

“…The capacitated vehicle routing problem (CVRP), which aims at minimizing travel costs, is a wellknown NP-hard combinatorial optimization. Owing to its…”
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Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning by Wang, Xiaoqiang, Ke, Liangjun, Qiao, Zhimin, Chai, Xinghua

“…IEEE transactions on cybernetics 51 (2021), 174-187 Finding the optimal signal timing strategy is a difficult task for the problem of large-scale traffic…”
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