A-Team Solving Distributed Resource-Constrained Multi-Project Scheduling Problem

Autor: Piotr Jędrzejowicz, Ewa Ratajczak-Ropel
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Vietnam Journal of Computer Science, Vol 6, Iss 4, Pp 423-437 (2019)
Druh dokumentu: article
ISSN: 2196-8888
2196-8896
21968888
DOI: 10.1142/S2196888819500234
Popis: In this paper, a multi-agent system (MAS) based on the A-Team concept is proposed to solve the Distributed Resource-Constrained Multi-Project Scheduling Problem (DRCMPSP). In the DRCMPSP, multiple distributed projects are considered. Hence, the local task schedule for each project and a coordination of the shared decisions are considered. The DRCMPSP belongs to the class of the strongly NP-hard optimization problems. Multi-agent system seems the natural way of solving such problems. The A-Team MAS, proposed in this paper, has been built using the JABAT environment where two types of the optimization agents are used: local and global. Local optimization agents are used to find solutions for the local projects, and global optimization agents are responsible for the coordination of the local projects and for finding the global solutions. The approach has been tested experimentally using 140 benchmark problem instances from MPSPLIB library with minimizing the Average Project Delay (APD) as global optimization criterion.
Databáze: Directory of Open Access Journals