Novel dynamic diversity controlling EAs for coevolving optimal negotiation strategies

DOI10.1016/J.INS.2014.02.153zbMath1362.68245OpenAlexW1971788649MaRDI QIDQ726394

Jeonghwan Gwak, Moongu Jeon, Kwang Mong Sim

Publication date: 8 July 2016

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.02.153

zbMATH Keywords

genetic algorithmsautomated negotiationestimation of distribution algorithmsadaptive diversity controlcoevolutionary learningnegotiation agents

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

Game theory-inspired evolutionary algorithm for global optimization

Cites Work

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• A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study
• Coevolving Negotiation Strategies for P-S-Optimizing Agents
• An evolutionary learning approach for adaptive negotiation agents

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