The Solution of Multi-Objective Multimode Resource-Constrained Project Scheduling Problem with Multi-Objective Bees Metaheuristic Algorithm

Sadeghi, Amir; Namazi, Sina; Ghorajehlo, Zahra; Rezvanpour, Behnam

Manuscript ID : 537140 Visit : 232 Page: 1 - 19

Article Type: Original Research

The Solution of Multi-Objective Multimode Resource-Constrained Project Scheduling Problem with Multi-Objective Bees Metaheuristic Algorithm

Subject Areas : Industrial Management

Amir Sadeghi ¹ , Sina Namazi ² , Zahra Ghorajehlo ³ , Behnam Rezvanpour ⁴

1 - Faculty of management and accounting, South Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Karaj Branch, Islamic Azad University, Karaj, Iran
3 - Isfahan University of Technology, Isfahan, Iran
4 - Rasht Branch, Islamic Azad University, Rasht, Iran

Received: 2015-06-14 Accepted : 2016-07-18 Published : 2016-08-25

Keywords:

Abstract :

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.

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