There is a recognized need for automated path planning for unmanned air vehicles (UAVs) and guided munitions. Evolutionary programming approaches provide an alternative to classical functional optimization methods with the capability of incorporating a variety of optimization goals, while tolerating vehicle constraints. In this work, we introduce an evolutionary flight path planning algorithm c...

This paper presents a new way for mobile robots’ path planning which is based on the Evolutionary Artificial Potential Fields(EAPF) approach. The APF theory is a traditional method to plan path for a robot. The Evolutionary APF aims at helping a robot jump out of the local minimum point. Using a virtual goal to produce extra force and fixing the direction of the repulsive force are combined to ...

This paper presents a general theory that aims at explaining timescales observed empirically in technology transitions and predicting those of future transitions. This framework is used further to derive a theory for exploring the dynamics that underlie the complex phenomenon of irreversible and path dependent price or policy induced efficiency changes. Technology transitions are known to follo...

This paper investigates how the level of coordination requirement affects the occurrence of bank runs as a result of pure coordination failures in controlled laboratory environments. We find that miscoordination-based bank runs can be observed when the coordination parameter, defined as the amount of coordination among depositors choosing to wait that is required for them to receive a higher pa...

The evolutionary approach called Scatter Search, and its generalized form called Path Relinking, have proved unusually effective for solving a diverse array of optimization problems from both classical and real world settings. Scatter Search and Path Relinking differ from other evolutionary procedures, such as genetic algorithms, by providing unifying principles for joining solutions based on g...

This paper addresses the problem of time-dependent shortest multimodal path in complex and large urban areas. This problem is one of the important and practical problems in several fields such as transportation, and recently attracts the research focus due to developments in new application areas. An adapted evolutionary algorithm, in which chromosomes with variable lengths and particularly def...