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Titlebook: Intelligent Systems; 10th Brazilian Confe André Britto,Karina Valdivia Delgado Conference proceedings 2021 Springer Nature Switzerland AG 2

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樓主: 烹飪
21#
發(fā)表于 2025-3-25 03:38:36 | 只看該作者
Intelligent Agents for Observation and Containment of Malicious Targets Organizationso remains the same, but the targets are structured as an organization to achieve the highest possible percentage of exploration of the environment and avoid robots. Targets can be organized as hierarchy, holarchy, team, and coalition, but they can also be unorganized. Our work seeks to apply compute
22#
發(fā)表于 2025-3-25 10:54:52 | 只看該作者
23#
發(fā)表于 2025-3-25 13:39:10 | 只看該作者
On the Impact of MDP Design for Reinforcement Learning Agents in Resource Managementof the impacts of design decisions on agent performance. In this paper, we compare and contrast four different MDP variations, discussing their computational requirements and impacts on agent performance by means of an empirical analysis. We conclude by showing that, in our experiments, when using M
24#
發(fā)表于 2025-3-25 19:15:45 | 只看該作者
25#
發(fā)表于 2025-3-25 20:27:48 | 只看該作者
A Graph-Based Crossover and Soft-Repair Operators for the Steiner Tree Problemand candidate solutions can include additional nodes called Steiner vertices. The problem is NP-complete, and optimization algorithms based on population metaheuristics, e.g., Genetic Algorithms (GAs), have been proposed. However, traditional recombination operators may produce inefficient solutions
26#
發(fā)表于 2025-3-26 04:14:11 | 只看該作者
A Modified NSGA-DO for Solving Multiobjective Optimization Problemsch aims to adjust the NSGA-DO selection operator to improve its diversity when applied to continuous multiobjective optimization problems. In order to validate this new Genetic Algorithm, we carried out a performance comparison among it and the genetic algorithms NSGA-II and NSGA-DO, regarding conti
27#
發(fā)表于 2025-3-26 06:54:55 | 只看該作者
An Enhanced TSP-Based Approach for Active Debris Removal Mission Planningof future operations. In this sense, Active Debris Removal (ADR) missions are required to clean up the space, deorbiting the debris with a spacecraft. ADR mission planning has been investigated in the literature by means of metaheuristic approaches, focused on maximizing the amount of removed debris
28#
發(fā)表于 2025-3-26 11:45:46 | 只看該作者
29#
發(fā)表于 2025-3-26 16:02:27 | 只看該作者
30#
發(fā)表于 2025-3-26 19:09:48 | 只看該作者
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