An agent-based approach for building complex software systems
Communications of the ACM
Journal of Global Optimization
Recent approaches to global optimization problems through Particle Swarm Optimization
Natural Computing: an international journal
Nash q-learning for general-sum stochastic games
The Journal of Machine Learning Research
A novel ecological network-based computation platform as a grid middleware system
International Journal of Intelligent Systems
Computing Nash equilibria through computational intelligence methods
Journal of Computational and Applied Mathematics - Special issue: Selected papers of the international conference on computational methods in sciences and engineering (ICCMSE-2003)
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
Agent-oriented compositional approaches to services-based cross-organizational workflow
Decision Support Systems - Special issue: Web services and process management
A highly flexible service composition framework for real-life networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Active networks
International Journal of Intelligent Systems
Communication mechanisms in ecological network-based grid middleware for service emergence
Information Sciences: an International Journal
Stability analysis of social foraging swarms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Inspired by the systemic emergence and self-evolution of the neuroendocrine-immune system, we have developed a bio-network architecture and built a novel bio-network platform for complex services on next-generation Internet. Since stability analysis is an important issue in complex networks, we discuss the evolutionary stability of the bio-network architecture based on energy design. We build a stability model of energy flow in the bio-network system. Considering that the stability model of energy flow is similar to the common market equilibrium model, we propose the measurement of energy entropy and global stability based on the Nash equilibrium game. The reinforcement learning of stability strategy based on the improved differential evolution algorithm is applied to solve the problem with global stability optimization. The simulation results of energy stability are provided to validate the proposed method.