Consider unmanned airborne vehicle (UAV) control agents in a dynamic multi-agent system.
The agents must have a set of goals such as destination airport and intermediate positions …

Allocating scarce resources among agents to maximize global utility is, in general,
computationally challenging. We focus on problems where resources enable agents to …

In this paper, we first refine a recently proposed metaheuristic called “Marriage in Honey-
Bees Optimization”(MBO) for solving combinatorial optimization problems with some …

Pour bien fonctionner, une application répartie nécessite de communiquer et d'échanger
des informations entre ces différentes entités. Les agents mobiles apparaissent dans ce …

In over-subscription planning (OSP), the set of goals is not achievable jointly, and the task is
to find a plan that attains the best feasible subset of goals given resource constraints. Recent …

We propose a novel algorithm called GA-MDP for solving the frequency assignment
problem. GA-MDP inherits the spirit of genetic algorithms with an adaptation of Markov …

Resource allocation is a ubiquitous problem that arises whenever scarce resources have to
be distributed among multiple autonomous entities (eg, people, companies, robots) …

Network-centric multisensor-multitarget tracking has numerous advantages over single-
sensor or single-platform tracking. In this paper, we present a solution to one of the main …

In this paper, we consider the problem of collaborative sensor management with particular
application to using unmanned aerial vehicles (UAVs) for multitarget tracking. We study the …

The standard computational methods for computing the optimal value functions of Markov
Decision Problems (MDP) require the exploration of the entire state space. This is practically …