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

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Publicly Funded

No
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Top 10%
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Average
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Average

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Journal Issue

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

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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

checked on Apr 09, 2026

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