Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Simulating organizations: computational models of institutions and groups
Simulating organizations: computational models of institutions and groups
ASPEN: A Microsimulation Model of the Economy
Computational Economics - Special issue on numerical methods in economics and finance
Economic simulations in Swarm: agent-based modelling and object programming
Economic simulations in Swarm: agent-based modelling and object programming
Non-cooperative dynamics of multi-agent teams
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Integral Particle Swarm Optimization with Dispersed Accelerator Information
Fundamenta Informaticae - Swarm Intelligence
Predicted-velocity particle swarm optimization using game-theoretic approach
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
To innovate or not to innovate?
IEEE Transactions on Evolutionary Computation
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Based on the organisational behaviour theory and complex adaptive system method, the enterprise organisation behaviours are analysed for the firm dynamic growth evolution modelling. Further, the particle swarm optimisation algorithm is introduced to individual behaviour parameters optimising, so each individual can adjust their own behaviour parameters according to their own status and the surroundings, which makes agents more intelligent and adaptive than that in the previous research. Concretely, organisation behaviours in the firm are described at first. Then the firm growth evolution model is given and the group behaviour structure is also built up. Besides, the principles and evolution processes of the model are specifically presented and the firm growth evolution model is simulated. Finally, the simulation results are analysed in greater detail. The results illustrate that applying the particle swarm optimisation to the group behaviour has a strong guiding sense to the development of the enterprise.