One-processor scheduling with symmetric earliness and tardiness penalties
Mathematics of Operations Research
The single machine early/tardy problem
Management Science
Sequencing with earliness and tardiness penalties: a review
Operations Research
A time indexed formulation of non-preemptive single machine scheduling problems
Mathematical Programming: Series A and B
Computers and Industrial Engineering
Computers and Operations Research
The weighted common due date single machine scheduling problem revisited
Computers and Operations Research
A composite heuristic for the single machine early/tardy job scheduling problem
Computers and Operations Research
A branch-and-bound algorithm for the single machine earliness and tardiness scheduling problem
Computers and Operations Research
A Taxonomy of Hybrid Metaheuristics
Journal of Heuristics
Minimization of squared deviation of completion times about a common due date
Computers and Operations Research
Computers and Industrial Engineering - Special issue: Focussed issue on applied meta-heuristics
The One-Machine Problem with Earliness and Tardiness Penalties
Journal of Scheduling
Improved heuristics for the early/tardy scheduling problem with no idle time
Computers and Operations Research
Computers and Industrial Engineering
Multicriteria Scheduling: Theory, Models and Algorithms
Multicriteria Scheduling: Theory, Models and Algorithms
Ant Colony Optimization for the Single Machine Total Earliness Tardiness Scheduling Problem
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Order acceptance using genetic algorithms
Computers and Operations Research
Expert Systems with Applications: An International Journal
A meta-heuristic approach to solve a JIT scheduling problem in hybrid flow shop
Engineering Applications of Artificial Intelligence
Genetic algorithms for coordinated scheduling of production and air transportation
Expert Systems with Applications: An International Journal
Computers & Mathematics with Applications
Computers and Industrial Engineering
Electronic Notes in Theoretical Computer Science (ENTCS)
Computers and Operations Research
Journal of Intelligent Manufacturing
Computers and Industrial Engineering
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This paper focuses on scheduling jobs with different processing times and distinct due dates on a single machine with no inserted idle time as to minimize the sum of total earliness and tardiness. This scheduling problem is a very important and frequent industrial problem that is common to most just-in-time production environments. This NP hard scheduling problem is herein solved using a hybrid heuristic which combines local search heuristics (dispatching rules, hill climbing and simulated annealing) and an evolutionary algorithm based on genetic algorithms. The heuristic involves low and high, relay and teamwork hybridization. Computational results reflect the sizeable solution quality improvement induced by hybridization, and assess the impact of each type of hybridization on the efficiency of the hybrid heuristic.