Introducing dynamic diversity into a discrete particle swarm optimization
Computers and Operations Research
Solving the Response Time Variability Problem by means of Multi-start and GRASP metaheuristics
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Note: Solving symmetric mixed-model multi-level just-in-time scheduling problems
Discrete Applied Mathematics
Solving the response time variability problem by means of a psychoclonal approach
Journal of Heuristics
Using aggregation to reduce response time variability in cyclic fair sequences
Journal of Scheduling
A parametric multi-start algorithm for solving the response time variability problem
LSSC'09 Proceedings of the 7th international conference on Large-Scale Scientific Computing
A branch and bound algorithm for the response time variability problem
Journal of Scheduling
Perfect periodic scheduling for three basic cycles
Journal of Scheduling
Hi-index | 0.00 |
Response time variability is a new optimization problem with a broad range of applications and a distinctive number of theoretic flavour. The problem occurs whenever events, jobs, clients or products need to be sequenced so as to minimize the variability of time for which they wait for the next turn in obtaining the resources necessary for their advance. The problem has numerous real-life applications. We study its computational complexity, present efficiency, polynomial time algorithms for some cases, and the NP-hardness proof for a general problem. We propose a position exchange heuristic and apply it to improve the total response time variability of an initial sequence. The latter is the optimum bottleneck sequence, Webster or Jefferson sequence of the apportionment, or a random sequence. We report on computational experiments with the heuristic.