List of Articles زمانبندی پروژه

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  1 - Solving Resource-Constrained Project Scheduling Problem with Particle Swarm Optimization (Case Study: Bandar Abbas Gas Condensate Refinery)
  Mohammadhusein Nabizadeh Huseinali Hasanpoor Roozbeh Azizmohammadi Navid Hashtroodi
  One of the issues considered by the projects responsible especially project managers is the execution of project activities according to time schedule. The very difficult nature of that issue is also another reason for the researchers to take much note of it. Therefore, More

  One of the issues considered by the projects responsible especially project managers is the execution of project activities according to time schedule. The very difficult nature of that issue is also another reason for the researchers to take much note of it. Therefore, there are especial techniques and methods to solve those issues. Also, project managers pay much attention to the stability of the time schedule as it is important for them. This paper is provided with a real project time schedule for a refinery by using stable time schedule. Particle swarm optimization algorithm is suggested to resolve the problem since the project time schedule has resources limitation including NP- Hard. In order to accesses the validation of the model, 4 issues with small scales has been selected and the results from the suggested algorithm was compared with the accurate result obtained from lingo software. These results indicate that the suggested algorithm is effective and convergent with the optimized result. Manuscript profile
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  2 - The Solution of Multi-Objective Multimode Resource-Constrained Project Scheduling Problem with Multi-Objective Bees Metaheuristic Algorithm
  Amir Sadeghi Sina Namazi Zahra Ghorajehlo Behnam Rezvanpour
  Resource Constrained Project Scheduling Problem (RCPSP) is the most general scheduling problem. Job shop scheduling, flow shop scheduling and other scheduling problems are the subsets of RCPSP. The present paper examines the multimode multi-objective resource-constraine More

  Resource Constrained Project Scheduling Problem (RCPSP) is the most general scheduling problem. Job shop scheduling, flow shop scheduling and other scheduling problems are the subsets of RCPSP. The present paper examines the multimode multi-objective resource-constrained project scheduling problem (RCPSP) with partial precedence relations. To enhance the practical aspects of this prominent problem, important practical purposes including minimizing the completion time of the project, maximizing the quality of project activities and minimizing the total cost of the project were considered. After validation of the model using the Bees Algorithm, the proposed multi-objective model was solved. The results obtained from the proposed model were compared with those obtained from NSGA-II. The results demonstrated the good performance of the proposed algorithm in solving RCPSPs. Manuscript profile
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  3 - An Effective Frog-leaping Algorithm to Minimize the Completion Time Problem of the Resource-constrained Projects
  Alireza Haji Akhondi Gholam Reza Tavakoli Peyman Akhavan Manouchehr Manteghi
  Frog leaping algorithm combination (SFLA) is an algorithm based on memetic Meta-heuristic. Created in recent years by Eusuff and Lansey, SFLA algorithm works in a way that the frog groups search for food. The development of memetic algorithms for local search method is More

  Frog leaping algorithm combination (SFLA) is an algorithm based on memetic Meta-heuristic. Created in recent years by Eusuff and Lansey, SFLA algorithm works in a way that the frog groups search for food. The development of memetic algorithms for local search method is similar to the activities of a frog among subgroups. SFLA uses a combination of strategy and provides the ability to exchange messages in local search. Frog leaping algorithm combines the advantages of particle swarm optimization algorithm and memetic development (PSO). Since the resource-constrained project scheduling problem is the timing issue, scheduling issues in the construction sites and plants is highly considered. One of the main duties of the project scheduling and project management is to reduce the completion time.  Because of the resource constraints and precedence relationships between activities, project scheduling problem is difficult. In this paper, the algorithm performance LeapFrog (SFLA) is applied to reduce the project scheduling problems with resource constraints. The findings prove the robust performance of the new meta-heuristic algorithm. Manuscript profile