Over the last ten years Agile Software Development (ASD) has received much attention from researchers and practitioners as an approach for dealing with change. However, the proper application area and the use of a mixed agile and traditional, more plan-driven -approach are still much debated. In this paper, we report from a mission critical project that was considered agile by the involved staf...

Path planning in the presence of dynamic obstacles is a challenging problem due to the added time dimension in the search space. In approaches that ignore the time dimension and treat dynamic obstacles as static, frequent re-planning is unavoidable as the obstacles move, and their solutions are generally sub-optimal and can be incomplete. To achieve both optimality and completeness, it is neces...

Information system (IS) plans can vary in length and detail. One must, therefore, be able to tailor the existing planning methodologies to produce the desirable outputs. This article proposes a framework of demand-centric adaptive IS planning process and applies it to a case study that demonstrates how to adapt the methodology to produce an IS plan for a small commercial bank. Following the out...

Disruptions to a network create uncertainty which affects the rationality of a user as well their familiarity of the road network. Accordingly traditional equilibrium concepts are not applicable when disruptions are present on a network, especially when developing models for the purposes of incident mitigation or disaster planning. To address this need, this work presents the disrupted equilibr...

We present an actor-critic scheme for reinforcement learning in complex domains. The main contribution is to show that planning and I/O dynamics can be separated such that an intractable planning problem reduces to a simple multi-armed bandit problem, where each lever stands for a potentially arbitrarily complex policy. Furthermore, we use the Bayesian control rule to construct an adaptive band...

This work proposes an adaptive trajectory planning approach for a single quad-rotor unmanned aerial vehicle (UAV). The objective is to drive the system from an initial position to a final one without hitting actuator constraints while minimizing the total time of the mission. The approach employs differential flatness to represent the control inputs to be applied in function of the desired traj...

In dynamic environment, the path planning of mobile robot is a problem difficult to solve. A path planning method for mobile robot based on genetic algorithm is put forward. This method makes use of real number coding and adaptive function with definite physical meaning in the dynamic environment so as to accelerate real-time calculation and improve calculation precision. The simulation result ...

In order to perform adequately in real-world situations, a planning system must overcome intractable domains, limited planning time, incorrect and uncertain world knowledge, dynamic environments, and real-time response. ALPS, an adaptive learning and planning system, combines traditional components of hybrid planners with innovative techniques from machine learning, distributed computing, a~d p...