4 citations · 5 across the 4 of their papers we have counts for
5 papers
An adaptive experience-based discrete genetic algorithm for multi-trip picking robot task scheduling in smart orchards
Peng Chen, Jing Liangb, Kang-Jia Qiao +5
The continuous innovation of smart robotic technologies is driving the development of smart orchards, significantly enhancing the potential for automated harvesting systems. While…
A segment anchoring-based balancing algorithm for agricultural multi-robot task allocation with energy constraints
Peng Chen, Jing Liang, Kang-Jia Qiao +6
Multi-robot systems have emerged as a key technology for addressing the efficiency and cost challenges in labor-intensive industries. In the representative scenario of smart farmin…
Multi-objective task allocation for electric harvesting robots: a hierarchical route reconstruction approach
Peng Chen, Jing Liang, Hui Song +5
The increasing labor costs in agriculture have accelerated the adoption of multi-robot systems for orchard harvesting. However, efficiently coordinating these systems is challengin…
A Two-stage Evolutionary Framework For Multi-objective Optimization
Peng Chen, Jing Liang, Kangjia Qiao +2
In the field of evolutionary multi-objective optimization, the approximation of the Pareto front (PF) is achieved by utilizing a collection of representative candidate solutions th…
Multi-objective optimization based network control principles for identifying personalized drug targets with cancer
Jing Liang, Zhuo Hu, Zong-Wei Li +2
It is a big challenge to develop efficient models for identifying personalized drug targets (PDTs) from high-dimensional personalized genomic profile of individual patients. Recent…