Titlebook: Combinatorial Optimization; 6th International Sy Mourad Baïou,Bernard Gendron,A. Ridha Mahjoub Conference proceedings 2020 Springer Nature

Pde5-Inhibitors

Yu-Chi Liu,Donald T-H Tan,Jodhbir S. Mehtaciently transforming the program into an equivalent one. Our results are stated in terms of general sparsity bounds, so any new sparsity results immediately improve our work. Generalizations to mixed integer programs are also discussed.

DEVIL

Hoon Jai Chun,Sang-Yong Seol,Joo Young Chostudied. Second we consider generalized precedence constraints, which include, e.g., deadline constraints. Altogether this leads to a more realistic rescheduling problem. The main result is to show that the problem is polynomial. We discuss how to benefit from the polynomiality result in a machine scheduling environment.

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The Future of Capsule Endoscopycase of 0 processing times (.). In addition, we show strong NP-hardness of the case of unit resource requirements and weights (.), thus answering an open question of Györgyi and Kis. We also prove that the schedule corresponding to the Shortest Processing Time First ordering provides a 3/2-approximation for the latter problem.

Bmd955

捐助

Improving Proximity Bounds Using Sparsityciently transforming the program into an equivalent one. Our results are stated in terms of general sparsity bounds, so any new sparsity results immediately improve our work. Generalizations to mixed integer programs are also discussed.

圣歌

osculate

Scheduling with Non-renewable Resources: Minimizing the Sum of Completion Timescase of 0 processing times (.). In addition, we show strong NP-hardness of the case of unit resource requirements and weights (.), thus answering an open question of Györgyi and Kis. We also prove that the schedule corresponding to the Shortest Processing Time First ordering provides a 3/2-approximation for the latter problem.

gain631

Arc-Flow Approach for Parallel Batch Processing Machine Scheduling with Non-identical Job Sizesespan on parallel processing machines .. The mathematical model is solved using CPLEX, and computational results show that the proposed models have a better performance than other models in the literature.

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