We develop a bicriteria model for the resource allocation problem in PERT networks, in which the total direct costs of the project as the first objective, and the mean of project completion time as the second objective are minimized. The activity durations are assumed to be independent random variables with either exponential or Erlang distributions, in which the mean of each activity duration ...

Simultaneous optimization of time, cost, and utilized resources in a construction project is vital. This paper presents a GA based model for determination of the best combination of the time, cost, and resources in a multiple resource constraint problem. The proposed model considers both resource allocation and leveling simultaneously. Since the problem is assumed to be resource constraint, res...

The interference mitigation technique based on fractional frequency reuse (FFR) provides improved cell-edge performance with similar overall cell capacity as that of systems with the frequency reuse factor of one. Furthermore, frequency sub-band allocation by FFR has the benefit of allowing flexibility for the deployment of femto-cells through frequency partitioning. Determination of a proper f...

in this paper, we present a genetic algorithm (ga) for optimization of a multi-mode resource constrained time cost trade off (mrctct) problem. the proposed ga, each activity has several operational modes and each mode identifies a possible executive time and cost of the activity. beyond earlier studies on time-cost trade-off problem, in mrctct problem, resource requirements of each execution mo...

Market-based techniques represent a general approach to resource allocation in decentralized environments. In dynamic situations, the ability to find effective allocations of resources without central information and control is a crucial element of adaptivity. The Michigan Adaptive Resource eXchange (MARX) Project has developed market models for a variety of resource allocation problems--both c...

In this paper we propose a model for measurementbased network configuration. In the model, resource allocation is based on provisioning cycles, whereby monitoring is used to build a matrix with expected traffic patterns. Such a matrix drives the subsequent network configuration phase, which is performed via a hybrid Traffic Engineering approach, combining both off-line and on-line algorithms. F...