Computers and Operations Research
Applying tabu search with influential diversification to multiprocessor scheduling
Computers and Operations Research - Special issue: heuristic, genetic and tabu search
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Heuristic Solution of Open Bin Packing Problems
Journal of Heuristics
Design and Evaluation of Tabu Search Algorithms forMultiprocessor Scheduling
Journal of Heuristics
A Hybrid Improvement Heuristic for the One-Dimensional Bin Packing Problem
Journal of Heuristics
SIAM Journal on Discrete Mathematics
Heuristic and Exact Algorithms for the Identical Parallel Machine Scheduling Problem
INFORMS Journal on Computing
Computers and Operations Research
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A composite algorithm is developed for the classical problem of scheduling independent jobs on identical parallel machines with the objective of minimizing the makespan. The algorithm at first obtains a family of initial partial solutions and combines these partial solutions until a feasible solution is generated. Then local search procedures are used for improving the solution. The effectiveness of this approach is evaluated through extensive computational comparisons with recent improvement heuristics for different classes of benchmark instances.