Swarm intelligence
Recent approaches to global optimization problems through Particle Swarm Optimization
Natural Computing: an international journal
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Particle swarm optimization for integer programming
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
On the computation of all global minimizers through particle swarm optimization
IEEE Transactions on Evolutionary Computation
Operations Research Letters
Solving the stochastic dynamic lot-sizing problem through nature-inspired heuristics
Computers and Operations Research
Hi-index | 0.00 |
We propose an alternative algorithm for solving continuous review inventory model problems for deteriorating items over a finite horizon. Our interest focuses on the case of time-dependent demand and backlogging rates, limited or infinite warehouse capacity and taking into account the time value of money. The algorithm is based on Particle Swarm Optimization and it is capable of computing the number of replenishment cycles as well as the corresponding shortage and replenishment instances concurrently, thereby alleviating the heavy computational burden posed by the analytical solution of the problem through the Kuhn-Tucker approach. The proposed technique does not require any gradient information but cost function values solely, while a penalty function is employed to address the cases of limited warehouse capacity. Experiments are conducted on models proposed in the relative literature, justifying the usefulness of the algorithm.