Minimizing resource availability costs in time-limited project networks
Management Science
On Implementing Push-Relabel Method for the Maximum Flow Problem
Proceedings of the 4th International IPCO Conference on Integer Programming and Combinatorial Optimization
Solving Project Scheduling Problems by Minimum Cut Computations
Management Science
Resource-Constrained Project Scheduling: Models, Algorithms, Extensions and Applications
Resource-Constrained Project Scheduling: Models, Algorithms, Extensions and Applications
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
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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In this paper the agent system based on A-Team and E-JABAT architecture for solving the resource availability cost problem (RACP) is proposed and experimentally tested. RACP known also as RIP (resource investment problem) belongs to the NP-hard problem class. To solve this problem an A-Team consisting of an asynchronous agents implemented using E-JABAT middleware have been proposed. Three kinds of optimization agent have been used. Computational experiment involves evaluation of the proposed approach.