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Sequencing and scheduling : algorithms and complexity

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TLDR
A survey of deterministic machine scheduling can be found in this article, where complexity results and optimization and approximation algorithms for problems involving a single machine, parallel machines, open shops, flow shops and job shops are presented.
Abstract
Sequencing and scheduling as a research area is motivated by questions that arise in production planning, in computer control, and generally in all situations in which scarce resources have to be allocated to activities over time. In this survey, we concentrate on the area of deterministic machine scheduling. We review complexity results and optimization and approximation algorithms for problems involving a single machine, parallel machines, open shops, flow shops and job shops. We also pay attention to two extensions of this area: resource-constrained project scheduling and stochastic machine scheduling.

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Citations
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Solving the Multi Objective Flexible Job Shop Problem Using Combinational Meta Heuristic Algorithm Based on Genetic Algorithm and Tabu-Search

TL;DR: A combinational optimization Meta heuristic based on Genetic algorithm is proposed for solving this problem and Tabu search method as a local search algorithm is used to increasing the quality of solutions.
Dissertation

Modeling and constructing unstructured overlay networks: Algorithms, techniques and the Smart Grid case

TL;DR: A novel modeling on resource dispatch in power grids that takes into account node preferences and domain-related constraints is presented and it is proved that the algorithm always converges to a solution that provides a guaranteed approximation of the maximum total amount of a link-quality metric called satisfaction.
Journal ArticleDOI

Scheduling memory accesses through a shared bus

TL;DR: This work focuses on the bus architecture, in which a shared bus is used for communication between processors — and between processors and memories, and shows that the bound is tight for all measures, by describing algorithms whose competitive ratios are O(μ/λ).
Proceedings ArticleDOI

Development of a new model for the flowshop problem

TL;DR: In this article, a new mixed integer linear programming model for the regular flow shop scheduling problem is proposed, which is derived from an existing model mathematically, and the model has less number of constraints than the old model, whereas it has more number of variables.
Dissertation

Fully polynomial time approximation schemes for sequential decision problems

TL;DR: A generic approach for devising fully polynomial time approximation schemes for a large class of problems that the authors call list scheduling problems is introduced, and many previous results in the literature follow as direct corollaries of the main theorem.