A Particle Swarm Model of Organizational Adaptation



This study introduces the particle swarm metaphor to the
domain of organizational adaptation. A simulation model (OrgSwarm)
is constructed to examine the impact of strategic inertia, in the presence
of errorful assessments of future payoffs to potential strategies, on the
adaptation of the strategic fitness of a population of organizations. The
results indicate that agent (organization) uncertainty as to the payoffs of
potential strategies has the affect of lowering average payoffs obtained by
a population of organizations. The results also indicate that a degree of
strategic inertia, in the presence of an election mechanism, assists rather
than hampers adaptive efforts in static and slowly changing strategic


Particle Swarm, Optmization


Genetic and Evolutionary Computation Conference (GECCO-2004), June 2004

Cited by

Year 2007 : 1 citations

 Xiaohui Cui and Thomas E. Potok (2007): A Particle Swarm Social Model for Multi-Agent Based Insurgency
Warfare Simulation. Fifth International Conference on Software Engineering Research, Management and Applications. pp. 177-183, IEEE Press, 2007.

Year 2005 : 1 citations

 Far from equilibrium computation and particle swarm optimization, L. diosan, D. Dumitrescu and D. David, Acta Universitatis Apulensis, nº10/2005.