: This paper proposes a novel niching estimation of distribution algorithm (EDA) based on fuzzy c-means (FCM) clustering for solving the multi-mode resource-constrained project scheduling problem (MRCPSP). FCM clustering is employed to partition the population into niches to avoid premature convergence of the EDA. Then, the niche capacity is determined by Boltzmann scheme according to the adapt...

naturally all activities are along with risk and uncertainties. project risk has the concept more than the financial concept. in project management, risks are events that can occur during the project implementation and has negative effects on project completion and meeting goals. identification, analysis, prioritizing and having plan for dealing with these events are playing an important role i...

This paper addresses job shop scheduling problems with fuzzy processing time and fuzzy trapezoid or doublet due date. An efficient random key genetic algorithm (RKGA) is suggested to maximize the minimum agreement index and to minimize the maximum fuzzy completion time. In RKGA, a random key representation and a new decoding strategy are proposed and two-point crossover (TPX) and discrete cross...

Grid computing is the recently growing area of computing that share data, storage, computing across geographically dispersed area. This paper proposes a novel fuzzy approach using Differential Evolution (DE) for scheduling jobs oncomputational grids. The fuzzy based DE generatesan optimal plan to complete the jobs within a minimum period of time. We evaluate the performance of the proposed fuzz...

Extensive research has been devoted to resource constrained project scheduling problem. However, little attention has been paid to problems where a certain time penalty must be incurred if activity preemption is allowed. In this paper, we consider the project scheduling problem of minimizing the total cost subject to resource constraints, earliness-tardiness penalties and preemption penalties, ...

Resource-constrained project scheduling (RCPS) problem can be defined as a combinatorial problem of constructing a special plan for performing a number of precedence related tasks that have to be executed with the use of limited uncertain resources. In this paper we study the framework of a heuristic approach to deal with uncertainty while modelling RCPS problem by considering a fuzzy set theor...

The earned value management (EVM) model is an essential technique for managing and forecasting project features such as scheduling and cost performances indexes. This paper presents a novel fuzzy earned-value model based on Z-number theory incorporating both the impreciseness of real life conditions and a degree of reliability through considering an expert judgment process. The latter factor ha...

Managers often face difficulties when making project decisions that involve large number of interrelated activities – the planning and scheduling of which is project management. Most problems often arise in areas such as product development, production planning and control and setting up the production facilities. One important aspect of project management is activity crashing, i.e. reducing th...

This paper proposes an extended earned value management (EEVM) as an integrated comprehensive project progress measurement technique. The method considers all of project key success factors, simultaneously. That is the method guaranties the realistic weights achievement to implement project control and scheduling. The weights are employed to publish a correct and comprehensive progress reports ...