This paper presents a receding horizon genetic algorithm (RHGA) for dynamic resource allocation. The algorithm combines methods from control theory and computational intelligence to simultaneously solve the problems of (i) coordinated control of resources, (ii) task assignment, and (iii) multiple target tracking in a dynamic environment. A simulated case study on optimal positioning of a fleet ...

Disruption management is one of the most important scheduling problems in the airline industry because of the elevated costs associated, however this is relatively new research area comparing for example with fleet and tail assignment. The major goal to solve this kind of problem is to achieve a feasible solution for the airline company minimizing the several costs involved and within time cons...

The paper discusses an Integer Linear Programming (ILP) formulation that describes the problem of planning the use of domestic distributed generators, under individual as well as fleet constraints. The planning problem comprises the assignment of time intervals during which the local generator must produce or not. In [1] this ILP is shown to be NP-complete in the strong sense. Heuristic methods...

Airport demand management strategies have the potential to mitigate congestion and delays. However, the extent to which the delays can be reduced using such strategies is not clear. In this paper, we develop a bound on the minimum possible level of delays that can be achieved using these strategies. We solve the aggregated timetable development and fleet assignment problem to minimize the syste...

Work-related vehicle crashes are a common cause of occupational injury. Yet, there are few studies that investigate management practices used for light vehicle fleets (i.e. vehicles less than 4.5 tonnes). One of the impediments to obtaining and sharing information on effective fleet safety management is the lack of an evidence-based, standardised measurement tool. This article describes the ini...

The FLEET computer [1] is a new architecture designed from the ground up with parallelism in mind, providing the programmer with direct control over data movement and concurrency. Since FLEET is a completely new architecture, programming for it can be quite challenging. The machine is inherently parallel, so sequential programming techniques do not directly translate to it. The MIPS to FLEET tr...

Aging aircraft can be effectively managed by a combination of deterministic and probabilistic metrics. The deterministic metric provides a damage index for each aircraft relative to the full-scale test. This indexing method based on crack initiation or crack growth, may not be singly sufficient to support fleet management decisions at a time when the fleet is aging. To ensure safety of fleet, a...

This thesis investigates the problem of decentralized task assignment for a fleet of UAVs. The main objectives of this work are to improve the robustness to noise and uncertainties in the environment and improve the scalability of standard centralized planning systems, which are typically not practical for large teams. The main contributions of the thesis are in three areas related to distribut...

With the increasing reliance on space systems for communications, the number of multi-satellite, multimission operators, in both the government and commercial sectors, is also increasing. To prevent the operations and maintenance costs from increasing linearly, or worse, with the number of satellites, operators are attempting to consolidate operations and maintenance across the satellite fleet....

We introduce a new assignment and scheduling problem in a distribution system, which we refer to as the ASTV problem: Assigning and Scheduling transportation Tasks to Vehicles. In this problem, commodities need to be delivered directly from their origins to their destinations within specified time windows, using a fleet of homogenous capacitated vehicles. A set of routes, each of which performs...