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Energy-Efficient Single Machine Total Weighted Tardiness Problem with Sequence-Dependent Setup Times
(SPRINGER INTERNATIONAL PUBLISHING AG, 2018)
Most of the problems defined in the scheduling literature do not yet take into account the energy consumption of manufacturing processes, as in most of the variants with tardiness objectives. This study handles scheduling ...
Green Permutation Flowshop Scheduling: A Trade- off- Between Energy Consumption and Total Flow Time
(SPRINGER INTERNATIONAL PUBLISHING AG, 2018)
Permutation flow shop scheduling problem (PFSP) is a well-known problem in the scheduling literature. Even though many multi-objective PFSPs are presented in the literature with the objectives related to production efficiency ...
An energy-efficient permutation flowshop scheduling problem
(PERGAMON-ELSEVIER SCIENCE LTD, 2020)
The permutation flowshop scheduling problem (PFSP) has been extensively explored in scheduling literature because it has many real-world industrial implementations. In some studies, multiple objectives related to production ...
An energy-efficient bi-objective no-wait permutation flowshop scheduling problem to minimize total tardiness and total energy consumption
(PERGAMON-ELSEVIER SCIENCE LTD, 2020)
In manufacturing scheduling, sustainability concerns that raise from the service-oriented performance criteria have seldom been studied in the literature. This study aims to fill this gap in the literature by integrating ...
Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption
(ELSEVIER, 2020)
Due to its practical relevance, the hybrid flowshop scheduling problem (HFSP) has been widely studied in the literature with the objectives related to production efficiency. However, studies regarding energy consumption ...
An Effective Discrete Artificial Bee Colony Algorithm for Scheduling an Automatic-Guided-Vehicle in a Linear Manufacturing Workshop
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)
This paper deals with a new automatic guided vehicle (AGV) scheduling problem from the material handling process in a linear manufacturing workshop. The problem is to determine a sequence of Cells for AGV to travel to ...
Future Trends and Current State of Smart City Concepts: A Survey
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)
Intelligent systems are wanting for cities to cope with limited spaces and resources across the world. As a result, smart cities emerged mainly as a result of highly innovative ICT industries and markets, and additionally, ...
An evolution strategy approach to the team orienteering problem with time windows
(PERGAMON-ELSEVIER SCIENCE LTD, 2020)
The team orienteering problem with time windows (TOPTW) is a highly constrained NP-hard problem having many practical applications in vehicle routing and production scheduling. The TOPTW is an extended variant of the ...
Metaheuristic algorithms for the hybrid flowshop scheduling problem
(PERGAMON-ELSEVIER SCIENCE LTD, 2019)
The hybrid flowshop scheduling problem (HFSP) has been widely studied in the literature, as it has many real-life applications in industry. Even though many solution approaches have been presented for the HFSP with makespan ...
OPTIMUS: Self-Adaptive Differential Evolution with Ensemble of Mutation Strategies for Grasshopper Algorithmic Modeling
(MDPI, 2019)
Most of the architectural design problems are basically real-parameter optimization problems. So, any type of evolutionary and swarm algorithms can be used in this field. However, there is a little attention on using ...
A Variable Block Insertion Heuristic for Solving Permutation Flow Shop Scheduling Problem with Makespan Criterion
(MDPI, 2019)
In this paper, we propose a variable block insertion heuristic (VBIH) algorithm to solve the permutation flow shop scheduling problem (PFSP). The VBIH algorithm removes a block of jobs from the current solution. It applies ...
A General Variable Neighborhood Search for the No-Idle Flowshop Scheduling Problem with Makespan Criterion
(IEEE, 2019)
This paper proposes a novel general variable neighborhood search (GVNS) algorithm to solve the no-idle flowshop scheduling problem with the makespan criterion. The initial solution of the GVNS is generated using the FRB5 ...
An energy-efficient single machine scheduling with release dates and sequence-dependent setup times
(GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, 2018)
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 ...
Iterated greedy algorithms for the hybrid flowshop scheduling with total flow time minimization
(GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference, 2018)
1 The hybrid flosshop scheduling problem (HFSP) has been extensively studied in the literature, due to its complexity and real-life applicability. Various exact and heuristic algorithms have been developed for the HFSP, ...
Energy-efficient single machine total weighted tardiness problem with sequence-dependent setup times
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018)
Most of the problems defined in the scheduling literature do not yet take into account the energy consumption of manufacturing processes, as in most of the variants with tardiness objectives. This study handles scheduling ...
Green Permutation Flowshop Scheduling: A Trade- off- Between Energy Consumption and Total Flow Time
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018)
Permutation flow shop scheduling problem (PFSP) is a well-known problem in the scheduling literature. Even though many multi-objective PFSPs are presented in the literature with the objectives related to production efficiency ...
Variable block insertion heuristic for the quadratic assignment problem
(2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings, 2017)
The aim of this paper is to apply the variable block insertion heuristic (VBIH) algorithm recently proposed in the literature for solving the quadratic assignment problem (QAP). The VBIH algorithm is concerned with making ...
Design of multi-product multi-period two-echelon supply chain network to minimize bullwhip effect through differential evolution
(2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings, 2017)
A supply chain network consists of facilities located in dispersed geographical locations. This network structure can be optimized to minimize total cost or total inventory by deciding the order quantities and distribution ...
A variable block insertion heuristic for permutation flowshops with makespan criterion
(2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings, 2017)
This paper proposes a populated variable block insertion heuristic (PVBIH) algorithm for solving the permutation flowshop scheduling problem with the makespan criterion. The PVBIH algorithm starts with a minimum block size ...
Iterated greedy algorithms for the blocking flowshop scheduling problem with makespan criterion
(Computers and Operations Research, 2017)
Recently, iterated greedy algorithms have been successfully applied to solve a variety of combinatorial optimization problems. This paper presents iterated greedy algorithms for solving the blocking flowshop scheduling ...