Resource allocation problems: algorithmic approaches
Resource allocation problems: algorithmic approaches
Sequencing with earliness and tardiness penalties: a review
Operations Research
Computers and Operations Research
Computers and Industrial Engineering
Using tabu search to solve the common due date early/tardy machine scheduling problem
Computers and Operations Research
A branch-and-bound algorithm for the single machine earliness and tardiness scheduling problem
Computers and Operations Research
Benchmarks for scheduling on a single machine against restrictive and unrestrictive common due dates
Computers and Operations Research
Computers and Industrial Engineering - Special issue: Focussed issue on applied meta-heuristics
Ant Colony Optimization
A hybrid search algorithm with heuristics for resource allocation problem
Information Sciences: an International Journal
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In this paper, an intelligent algorithm for scheduling jobs on a single machine with a common due date is introduced. This problem of scheduling jobs on a single machine, known as NP-complete problem, is against the common due date with respect to earliness and tardiness penalties. In the proposed algorithm, the properties of scheduling jobs on a single machine with a common due date are well derived with ant colony optimization (ACO). Furthermore, the heuristic is embedded into ACO as local search to escape from local optima. Simulation results show that the proposed intelligent algorithm yields the best performance among existing algorithms.