4.7 Article

Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Two-stage parallel speed-scaling machine scheduling under time-of-use tariffs

Hongliang Zhang et al.

Summary: This paper investigates a two-stage parallel machine scheduling problem under time-of-use tariffs to minimize total electricity costs. A tabu search-greedy insertion hybrid algorithm is proposed to solve this problem, which balances job-machine assignment based on load balancing principle, job insertion with greedy mechanism, and movement and speed adjustment strategies. The effectiveness of the algorithm is demonstrated through comparisons with other algorithms, showing a trade-off between computation time and solution quality.

JOURNAL OF INTELLIGENT MANUFACTURING (2021)

Article Computer Science, Information Systems

Unified Multi-Objective Genetic Algorithm for Energy Efficient Job Shop Scheduling

Hongjing Wei et al.

Summary: In recent years, there has been growing concern about the environmental impact of traditional manufacturing, particularly in terms of energy consumption and carbon dioxide emissions. Production scheduling, along with machine status switching, can effectively reduce total energy consumption in manufacturing plants. The use of a multi-objective optimization algorithm such as U-NSGA-III has been shown to significantly decrease non-processing energy consumption and improve overall energy efficiency in manufacturing processes.

IEEE ACCESS (2021)

Article Computer Science, Interdisciplinary Applications

Evolutionary tabu search for flexible due-date satisfaction in fuzzy job shop scheduling

Camino R. Vela et al.

COMPUTERS & OPERATIONS RESEARCH (2020)

Article Computer Science, Artificial Intelligence

A memetic algorithm for multi-objective distributed production scheduling: minimizing the makespan and total energy consumption

Guiliang Gong et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

Article Computer Science, Interdisciplinary Applications

An energy-efficient bi-objective no-wait permutation flowshop scheduling problem to minimize total tardiness and total energy consumption

Damla Yuksel et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2020)

Article Computer Science, Artificial Intelligence

Multi-objective evolutionary algorithm for solving energy-aware fuzzy job shop problems

Ines Gonzalez-Rodriguez et al.

SOFT COMPUTING (2020)

Article Computer Science, Artificial Intelligence

Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption

Hande Oztop et al.

SWARM AND EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm

Guangchen Wang et al.

SWARM AND EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time

Yuyan Han et al.

APPLIED SOFT COMPUTING (2020)

Article Computer Science, Interdisciplinary Applications

Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem

Willian T. Lunardi et al.

COMPUTERS & OPERATIONS RESEARCH (2020)

Article Computer Science, Artificial Intelligence

An adaptive multi-objective algorithm based on decomposition and large neighborhood search for a green machine scheduling problem

Luciano P. Cota et al.

SWARM AND EVOLUTIONARY COMPUTATION (2019)

Article Green & Sustainable Science & Technology

Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan

Shijin Wang et al.

JOURNAL OF CLEANER PRODUCTION (2018)

Article Computer Science, Artificial Intelligence

A tutorial on multiobjective optimization: fundamentals and evolutionary methods

Michael T. M. Emmerich et al.

NATURAL COMPUTING (2018)

Article Computer Science, Artificial Intelligence

A tutorial on multiobjective optimization: fundamentals and evolutionary methods

Michael T. M. Emmerich et al.

NATURAL COMPUTING (2018)

Article Management

Models and matheuristics for the unrelated parallel machine scheduling problem with additional resources

Luis Fanjul-Peyro et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2017)

Article Computer Science, Artificial Intelligence

Robust multiobjective optimisation for fuzzy job shop problems

Juan Jose Palacios et al.

APPLIED SOFT COMPUTING (2017)

Article Management

Green scheduling of a two-machine flowshop: Trade-off between makespan and energy consumption

S. Afshin Mansouri et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2016)

Article Computer Science, Information Systems

Benchmarks for fuzzy job shop problems

Juan Jose Palacios et al.

INFORMATION SCIENCES (2016)

Article Computer Science, Interdisciplinary Applications

Genetic tabu search for the fuzzy flexible job shop problem

Juan Jose Palacios et al.

COMPUTERS & OPERATIONS RESEARCH (2015)

Article Computer Science, Artificial Intelligence

An improved gravitational search algorithm for solving short-term economic/environmental hydrothermal scheduling

Hao Tian et al.

SOFT COMPUTING (2015)

Review Computer Science, Information Systems

Fuzzy job-shop scheduling problems: A review

Salwani Abdullah et al.

INFORMATION SCIENCES (2014)

Article Green & Sustainable Science & Technology

An investigation into minimising total energy consumption and total weighted tardiness in job shops

Ying Liu et al.

JOURNAL OF CLEANER PRODUCTION (2014)

Article Engineering, Industrial

Hybrid flow shop scheduling considering machine electricity consumption cost

Hao Luo et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2013)

Article Computer Science, Interdisciplinary Applications

A genetic algorithm with tabu search procedure for flexible job shop scheduling with transportation constraints and bounded processing times

Q. Zhang et al.

COMPUTERS & OPERATIONS RESEARCH (2012)

Article Engineering, Industrial

A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction

Kan Fang et al.

JOURNAL OF MANUFACTURING SYSTEMS (2011)

Article Computer Science, Artificial Intelligence

Mathematical modeling and heuristic approaches to flexible job shop scheduling problems

Parviz Fattahi et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2007)

Article Management

Project scheduling under uncertainty: Survey and research potentials

W Herroelen et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2005)

Article Management

Executing production schedules in the face of uncertainties: A review and some future directions

H Aytug et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2005)

Article Management

Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge

D Dubois et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2003)

Review Computer Science, Artificial Intelligence

Performance assessment of multiobjective optimizers: An analysis and review

E Zitzler et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2003)

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)