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Fuzzy multi-objective programming: A systematic literature review
Negar Karimi, Mohammad Reza Feylizadeh, Kannan Govindan and Morteza Bagherpour Expert Systems with Applications 196 116663 (2022) https://doi.org/10.1016/j.eswa.2022.116663
Half Open Multi-Depot Heterogeneous Vehicle Routing Problem for Hazardous Materials Transportation
A Bi-Objective Vehicle-Routing Problem with Soft Time Windows and Multiple Depots to Minimize the Total Energy Consumption and Customer Dissatisfaction
Investment planning and strategic management of sustainable systems for clean power generation: An ε-constraint based multi objective modelling approach
Study of an intelligent and multicriteria scheduling service, using academic benchmarks
Fouzia Ounnar, Patrick Pujo, Maroua Hachicha and Yves Dubromelle International Journal of Computer Integrated Manufacturing 29(11) 1166 (2016) https://doi.org/10.1080/0951192X.2015.1030696
Multiobjective optimisation design for enterprise system operation in the case of scheduling problem with deteriorating jobs
Bi-objective optimization of drayage operations in the service area of intermodal terminals
Kris Braekers, An Caris and Gerrit K. Janssens Transportation Research Part E: Logistics and Transportation Review 65 50 (2014) https://doi.org/10.1016/j.tre.2013.12.012
Pareto-Optimal Cloud Bursting
Mohammad Reza HoseinyFarahabady, Young Choon Lee and Albert Y. Zomaya IEEE Transactions on Parallel and Distributed Systems 25(10) 2670 (2014) https://doi.org/10.1109/TPDS.2013.218
Lexicographic optimization of a permutation flow shop scheduling problem with time lag constraints
A greedy heuristic and simulated annealing approach for a bicriteria flowshop scheduling problem with precedence constraints—a practical manufacturing case
A GRASP heuristic for the multi-objective permutation flowshop scheduling problem
José Elias Claudio Arroyo and Ana Amélia de Souza Pereira The International Journal of Advanced Manufacturing Technology 55(5-8) 741 (2011) https://doi.org/10.1007/s00170-010-3100-x
Enterprise Information Systems Design, Implementation and Management
Ethel Mokotoff Advances in Business Information Systems and Analytics, Enterprise Information Systems Design, Implementation and Management 211 (2011) https://doi.org/10.4018/978-1-61692-020-3.ch014
A modified harmony search algorithm for the multi-objective flowshop scheduling problem with due dates
Multi-objective optimization algorithms for flow shop scheduling problem: a review and prospects
Yi Sun, Chaoyong Zhang, Liang Gao and Xiaojuan Wang The International Journal of Advanced Manufacturing Technology 55(5-8) 723 (2011) https://doi.org/10.1007/s00170-010-3094-4
Computational Intelligence in Flow Shop and Job Shop Scheduling
E. Mokotoff Studies in Computational Intelligence, Computational Intelligence in Flow Shop and Job Shop Scheduling 230 101 (2009) https://doi.org/10.1007/978-3-642-02836-6_4
A Review and Evaluation of Multiobjective Algorithms for the Flowshop Scheduling Problem
Multiobjective single machine scheduling with nontraditional requirements
Uday Haral, Rew-Win Chen, William G. Ferrell and Mary Beth Kurz International Journal of Production Economics 106(2) 574 (2007) https://doi.org/10.1016/j.ijpe.2006.06.018
Pareto archived simulated annealing for job shop scheduling with multiple objectives
A multi-objective genetic algorithm for scheduling in flow shops to minimize the makespan and total flow time of jobs
T. Pasupathy, Chandrasekharan Rajendran and R.K. Suresh The International Journal of Advanced Manufacturing Technology 27(7-8) 804 (2006) https://doi.org/10.1007/s00170-004-2249-6
A multi-objective simulated-annealing algorithm for scheduling in flowshops to minimize the makespan and total flowtime of jobs
Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys
Matthias Ehrgott and Xavier Gandibleux International Series in Operations Research & Management Science, Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys 52 369 (2003) https://doi.org/10.1007/0-306-48107-3_8
Heuristics for hybrid flow shops with controllable processing times and assignable due dates