In this paper, we propose an unique method based on integration of Genetic Algorithms and Fuzzy Logic theory to decide which part of data is more important to ...
Abstract. Agents' coordination, communication and information sharing have been always open problems in multi-agent research fields. In complex rescue ...
In this paper, we propose an unique method based on integration of Genetic Algorithms and Fuzzy Logic theory to decide which part of data is more important to ...
An Optimized Solution for Multi-agent Coordination Using Integrated GA-Fuzzy Approach in Rescue Simulation Environment. PRIMA Workshops 2009: 377-388. [c1].
Mar 28, 2021 · An optimized solution for multi-agent coordination using integrated GA-Fuzzy approach in rescue simulation environment. In Q. Bai & N ...
(PDF) Integrated Genetic Algorithmic and Fuzzy Logic Approach for ...
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In this paper we propose an integrated Genetic Algorithm (GA) and Fuzzy Logic approach to optimize the combination statement. The parameters are learned via GA ...
An Optimized Solution for Multi-agent Coordination Using Integrated GA-Fuzzy Approach in Rescue Simulation Environment. PRIMA Workshops 2009: 377-388. [c1].
This paper presents the coordinated navigation problem of multiple wheeled robots. Two motion planners such as PFM and GA-tuned FLC are combined with a ...
Aug 1, 2024 · The paper aims to solve the problem of multi-agent path planning in complex environment using optimization algorithm.
Studies in Computational Intelligence - Advances in Practical Multi ...
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An Optimized Solution for Multi-agent Coordination Using Integrated GA-Fuzzy Approach in Rescue Simulation Environment · Studies in Computational Intelligence ...