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A knowledge-driven collaborative discrete Jaya algorithm for energy-efficient multi-robot task allocation and scheduling problem
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DOI：10.1016/j.asoc.2026.115505.png)
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Abstract
En 中文
• A knowledge-driven collaborative discrete Jaya algorithm (KC-DJaya) is proposed. • An EE-MRTASP model for energy-efficient multi-robot scheduling is developed. • Five knowledge-driven neighborhood structures enhance local search capability. • KC-DJaya improves HV and IGD compared with existing algorithms. • Effectiveness is verified through extensive simulation experiments.
Keywords:
knowledge-driven
collaborative discrete Jaya algorithm
energy-efficient
multi-robot scheduling
task allocation
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W
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