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
Solving the RCPSP/max Problem by the Team of Agents
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Agent-based gene expression programming for solving the RCPSP/max problem
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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
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The paper proposes an agent-based approach to solving instances of the RCPSP/max problem. 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. Computational experiment involves evaluation of the influence of the time used to solve the problem on the results obtained. The paper contains the RCPSP/max problem formulation, overview of the E-JABAT environment, description of the E-JABAT architecture for solving the RCPSP/max problem instances and a discussion of the computational experiment results.