In this work, we investigate the application of a multi-objective genetic algorithm to problem task allocation in self-organizing, decentralized, threshold-based swarm. We use evolve response thresholds for simulated swarm engaged dynamic problems: two-dimensional and three-dimensional collective tracking. show that evolved not only outperform uniformly distributed but achieve nearly optimal pe...

In a multi-robot system, the appropriate allocation of tasks to individual robots is very significant component. The availability centralized infrastructure can guarantee an optimal tasks. However, in many important scenarios such as search and rescue, exploration, disaster-management, war-field, etc., on-the-fly dynamic decentralized fashion only possible option. Efficient communication among ...

Automated Guided Vehicles (AGVs) form a large and important part of the logistics transportation systems in today's industry are widely used, especially Europe. Today's AGV-systems offered by global manufacturers almost all operate under some centralized control where single central controller coordinates entire fleet AGVs. There is trend towards decentralized these AGVs make individual decisio...

We consider the problem of dynamically allocating tasks to multiple agents under time window constraints and task completion uncertainty. Our objective is minimize number unsuccessful at end operation horizon. present a multi-robot allocation algorithm that decouples key computational challenges sequential decision-making uncertainty multi-agent coordination, addresses them in hierarchical mann...