Guiding Designs of Self-Organizing Swarms: Interactive and Automated Approaches
This work addresses the problem of designing self-organizing swarms for researchers and engineers, but it appears incremental as it builds on existing evolutionary approaches.
The paper tackles the challenge of designing self-organizing heterogeneous particle swarms by enhancing interactive evolutionary methods and enabling spontaneous evolution in artificial ecosystems, resulting in improved design capabilities for complex swarm dynamics.
Self-organization of heterogeneous particle swarms is rich in its dynamics but hard to design in a traditional top-down manner, especially when many types of kinetically distinct particles are involved. In this chapter, we discuss how we have been addressing this problem by (1) utilizing and enhancing interactive evolutionary design methods and (2) realizing spontaneous evolution of self organizing swarms within an artificial ecosystem.