in this paper we consider the non-preemptive variant of a multi-mode resource constrained project scheduling problem (mrcpsp) with mode identity, in which a set of project activities is partitioned into disjoint subsets while all activities forming one subset have to be processed in the same mode. we present a depth-first branch and bound algorithm for the resource constrained project schedulin...

in previous papers authors have considered agents as inertia-less self driven particles and designed a flocking algorithm. application of this algorithm to agents with considerable inertial characteristics needs a behavioural controller. the controller uses the local information and helps every agent to imitate the desired behaviour as a member of the flocking frame which covers the main issue ...

objective(s): a novel iq-specttm method has become widely used in clinical studies. the present study compares the quality of myocardial perfusion images (mpi) acquired using the iq-specttm (iq-mode),conventional (180° apart: c-mode) and l-mode (90° apart: l-mode) systems. we assessed spatial resolution, image reproducibility and quantifiability using various physical phantoms. materials and me...

this paper presents the formulation and solution of the combinatorial multi-mode resource constrained multi-project scheduling problem. the focus of the proposed method is not on finding a single optimal solution, instead on presenting multiple feasible solutions, with cost and duration information to the project manager. the motivation for developing such an approach is due in part to practica...

initially, the first aim of the present study is to model 3-axle rigid truck by developing a code inmatlab. secondly, each equation should be drived by acquisition of lagrange approach. afterderiving equations successfully, validation is performed by some result which was mentioned inbohao li's master thesis. although the present approach is totally different from the approachthat boahao li use...

this paper introduces an indirect adaptive fuzzy sliding mode controller as a power system stabilizer for damping local and inter-area modes of oscillations of multi-machine power systems. this controller is designed based on the combination of sliding mode controller and the fuzzy logic systems. the fuzzy systems are used to approximate the unknown functions of power system model. generator sp...

logit models are one of the most important discrete choice models and they play an important role in describing decision makers’ choices among alternatives. in this paper the multi-nominal logit models has been used in mode choice modeling of isfahan. despite the availability of different mathematical computer programs there are not so many programs available for estimating discrete choice mode...

in this paper, a new genetic algorithm (ga) is presented for solving the multi-mode resource-constrained project scheduling problem (mrcpsp) with minimization of project makespan as the objective subject to resource and precedence constraints. a random key and the related mode list (ml) representation scheme are used as encoding schemes and the multi-mode serial schedule generation scheme (mssg...

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...