Scheduling project networks with resource constraints and time windows
Annals of Operations Research
A Constraint-Based Method for Project Scheduling with Time Windows
Journal of Heuristics
JADE-Based A-Team as a Tool for Implementing Population-Based Algorithms
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 03
Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence (Studies in Computational Intelligence)
Agent-Based Approach to Solving the Resource Constrained Project Scheduling Problem
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
A-Teams and Their Applications
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Experimental evaluation of the A-Team solving instances of the RCPSP/max problem
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part II
Evaluation of agents performance within the a-team solving RCPSP/max problem
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
JABAT middleware as a tool for solving optimization problems
Transactions on computational collective intelligence II
A-Team for solving MRCPSP/max problem
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Double-action agents solving the MRCPSP/Max problem
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
A-Team for solving the resource availability cost problem
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
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The paper proposes an agent-based approach to solving instances of the resource constrained project scheduling problem with minimal and maximal time lags (time windows). Since the problem is known to be NP-hard, the proposed solution takes advantage of the parallel and distributed computations abilities of the E-JABAT which is a middleware supporting the construction of the dedicated A-Team architectures based on the population-based approach. In this paper the E-JABAT-based A-Team architecture dedicated for solving the RCPSP/max problem instances is proposed and experimentally validated. The paper contains the RCPSP/max problem formulation, overview of the E-JABAT environment, a detailed description of the E-JABAT architecture implemented for solving the RCPSP/max problem instances and a discussion of the computational experiment results.