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Willa Ariela Syafruddin, Rio Mukhtarom Paweroi and Mario Köppen
Since nature is an excellent source of inspiration for optimization methods, many optimization algorithms have been proposed, are inspired by nature, and are modified to solve various optimization problems. This paper uses metaheuristics in a new field i...
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Sulemana Nantogma, Keyu Pan, Weilong Song, Renwei Luo and Yang Xu
Unmanned autonomous vehicles for various civilian and military applications have become a particularly interesting research area. Despite their many potential applications, a related technological challenge is realizing realistic coordinated autonomous c...
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Konstantine Fines, Alexei Sharpanskykh and Matthieu Vert
Airport surface movement operations are complex processes with many types of adverse events which require resilient, safe, and efficient responses. One regularly occurring adverse event is that of runway reconfiguration. Agent-based distributed planning ...
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Yalin Zhang, Yunzhong Song and Shumin Fei
This paper proposes a hierarchical control strategy to coordinate battery energy storage devices based on a multi-agent system. The heterogeneous nature of the battery volume is paid much more attention in designing the proportional protocol of the conse...
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Raghda Alqurashi and Tom Altman
Agent-based model (ABM) simulation is a bottom?up approach that can describe the phenomena generated from actions and interactions within a multiagent system. An ABM is an improvement over model simulations which only describe the global behavior of a sy...
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