The history and status of the P versus NP question
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
Scheduling Algorithms
Ant Colony Optimization
One genetic algorithm for hierarchical covering location problem
EC'08 Proceedings of the 9th WSEAS International Conference on Evolutionary Computing
Parameter adjustment for genetic algorithm for two-level hierarchical covering location problem
WSEAS Transactions on Computers
WSEAS Transactions on Computers
Ant colony optimization meta-heuristic in project scheduling
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
WSEAS Transactions on Information Science and Applications
Ant colony optimization for resource-constrained project scheduling
IEEE Transactions on Evolutionary Computation
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There are a multitude of optimization problems that are difficult to solve and for which many algorithms have been developed. One area of these problems is scheduling, where a large range of constraints need to be upheld, making the problems NP-hard. The aim of this paper is to present a tool for comparing different methods for the Resource-Constrained Project Scheduling Problem.