Scheduling parallel machines to minimize total weighted and unweighted tardiness
Computers and Operations Research
A tabu search algorithm for parallel machine total tardiness problem
Computers and Operations Research
Parallel machine total tardiness scheduling with a new hybrid metaheuristic approach
Computers and Operations Research
Computers and Operations Research
Scheduling jobs on parallel machines with setup times and ready times
Computers and Industrial Engineering
Robotics and Computer-Integrated Manufacturing
Computers and Operations Research
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The considered problem is the scheduling of a set of jobs on identical parallel machines in order to minimize the total tardiness without any preemption or splitting. Each job has its own processing time, release date and due date. All the machines are considered identical (with same speed) and available during all the scheduling period. This problem is NP-hard. An exact resolution, an Ant Colony Algorithm (ACO), a Tabu Search (TS) method, a set of Heuristics based on priority rules and an adapted Biskup Hermann Gupta (BHG) method are proposed to solve the problem. The obtained results are discussed and analyzed.