An energy-efficient single machine scheduling with release dates and sequence-dependent setup times
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Date
2018
Authors
Uǧur Eliiyi
M. Fatih Tasgetiren
Damla Kizilay
Hande Oztop
Quanke Pan
Journal Title
Journal ISSN
Volume Title
Publisher
Association for Computing Machinery Inc acmhelp@acm.org
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
This study considers single machine scheduling with the machine operating at varying speed levels for different jobs with release dates and sequence-dependent setup times in order to examine the trade-off between makespan and total energy consumption. A bi-objective mixed integer linear programming model is developed employing this speed scaling scheme. The augmented ε-constraint method with a time limit is used to obtain a set of non-dominated solutions for each instance of the problem. An energy-efficient multi-objective variable block insertion heuristic is also proposed. The computational results on a benchmark suite consisting of 260 instances with 25 jobs from the literature reveal that the proposed algorithm is very competitive in terms of providing tight Pareto front approximations for the problem. © 2018 Elsevier B.V. All rights reserved.
Description
Keywords
Energy Efficient Scheduling, Heuristic Optimization, Multi-objective Optimization, Sequence Dependent Setup Times, Speed Scaling, Approximation Algorithms, Economic And Social Effects, Energy Utilization, Integer Programming, Job Shop Scheduling, Machinery, Multiobjective Optimization, Pareto Principle, Scheduling, Scheduling Algorithms, Energy-efficient Scheduling, Epsilon-constraint Method, Heuristic Optimization, Mixed Integer Linear Programming Model, Sequence-dependent Setup Time, Single-machine Scheduling, Speed Scaling, Total Energy Consumption, Energy Efficiency, Approximation algorithms, Economic and social effects, Energy utilization, Integer programming, Job shop scheduling, Machinery, Multiobjective optimization, Pareto principle, Scheduling, Scheduling algorithms, Energy-Efficient Scheduling, Epsilon-constraint method, Heuristic optimization, Mixed integer linear programming model, Sequence-dependent setup time, Single-machine scheduling, Speed scaling, Total energy consumption, Energy efficiency, Speed Scaling, Multi-Objective Optimization, Sequence Dependent Setup Times, Heuristic Optimization, Energy Efficient Scheduling
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
5
Source
2018 Genetic and Evolutionary Computation Conference GECCO 2018
Volume
Issue
Start Page
145
End Page
146
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Citations
CrossRef : 5
Scopus : 8
Captures
Mendeley Readers : 10
SCOPUS™ Citations
8
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