Coalition formation mechanism in multi-agent systems based on genetic algorithms
Applied Soft Computing
Automated organization design for multi-agent systems
Autonomous Agents and Multi-Agent Systems
Using quantitative models to search for appropriate organizational designs
Autonomous Agents and Multi-Agent Systems
Evolutionary organizational search
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Evolutionary mechanism design: a review
Autonomous Agents and Multi-Agent Systems
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In this paper, we propose a genetic algorithm aided optimization scheme for designing the organization of hierarchical multiagent systems. We introduce the hierarchical genetic algorithm, in which hierarchical crossover with a repair strategy and mutation of small perturbation are used. The phenotypic hierarchical structure space is translated to the genome-like array representation space, which makes the algorithm genetic-operator-literate. Our experiments show that competitive structures can be found by the proposed algorithm. Compared with traditional operators, the new operators produced better organizations of higher utility more consistently. The proposed algorithm extends the search processes of the state-of-the-art multiagent organization design methodologies, and is more computationally efficient in a large search space.