Optimization and approximation in deterministic sequencing and scheduling: a survey, Annals of discrete mathematics, vol.5, pp.287-326, 1979. ,
Genetic algorithms for shop scheduling problems: a survey, p.31, 2011. ,
NP-complete scheduling problems, Journal of Computer and System sciences, vol.10, issue.3, pp.384-393, 1975. ,
A new class of parallel scheduling algorithms. Oficyna wydawn, 2010. ,
Genetic algorithms, Scientific american, vol.267, issue.1, pp.66-73, 1992. ,
A tutorial survey of job-shop scheduling problems using genetic algorithms-I. Representation, Computers & industrial engineering, vol.30, issue.4, pp.983-997, 1996. ,
Selection methods for genetic algorithms, International Journal of Emerging Sciences, vol.3, issue.4, pp.333-344, 2013. ,
A survey of parallel genetic algorithms. Calculateurs paralleles, reseaux et systems repartis, vol.10, pp.141-171, 1998. ,
Parallel CPU and GPU computations to solve the job shop scheduling problem with blocking, 2013. ,
A survey of parallel genetic algorithms. Calculateurs paralleles, reseaux et systems repartis, vol.10, pp.141-171, 1998. ,
Randomized parameter settings for heterogeneous workers in a pool-based evolutionary algorithm, International Conference on Parallel Problem Solving from Nature, pp.702-710, 2014. ,
Adaptive Computing in Design and Manufacture, 2009. ,
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using NVIDIA CUDA framework, Genetic Programming and Evolvable Machines, vol.10, issue.4, p.391, 2009. ,
, SIMD Monte, 2017.
URL : https://hal.archives-ouvertes.fr/hal-02091696
, Carlo Numerical Simulations Accelerated on GPU and Xeon Phi. International Journal of Parallel Programming, vol.46, issue.3, pp.589-606
Experiences with fine-grained parallel genetic algorithms, Annals of Operations Research, vol.90, pp.203-219, 1999. ,
, , 2005.
, Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on, vol.2, pp.1115-1121
Parallel heterogeneous genetic algorithms for continuous optimization, Parallel Computing, vol.30, issue.5-6, pp.699-719, 2004. ,
Cellular genetic algorithm on graphic processing units, Nature Inspired Cooperative Strategies for Optimization, pp.223-232, 2010. ,
A pseudo genetic algorithm, Neural Computing and Applications, vol.19, issue.1, pp.77-83, 2010. ,
A novel parallel quantum genetic algorithm for stochastic job shop scheduling, Journal of Mathematical Analysis and Applications, vol.355, issue.1, pp.63-81, 2009. ,
CUDA by example: an introduction to general-purpose GPU programming, 2010. ,
Gpu gems 2: programming techniques for highperformance graphics and general-purpose computation, 2005. ,
, EIA (2009) International energy outlook, 2009.
, Annual energy review, EIA, 2009.
Energy-Efficient Scheduling for Flexible Flow Shops by Using MIP, IIE Annual Conference. Proceedings (p. 1040). Institute of Industrial and Systems Engineers (IISE), 2014. ,
, , 2014.
, Reactive and energy-aware scheduling of flexible manufacturing systems using potential fields, Computers in Industry, vol.65, issue.3, pp.434-448
A new shop scheduling approach in support of sustainable manufacturing, Glocalized solutions for sustainability in manufacturing, pp.305-310, 2011. ,
Energyaware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops, CIRP Annals-Manufacturing Technology, vol.61, issue.1, pp.459-462, 2012. ,
A survey of dynamic scheduling in manufacturing systems, Journal of scheduling, vol.12, issue.4, p.417, 2009. ,
Energy-efficient dynamic scheduling for a flexible flow shop using an improved particle swarm optimization, Computers in Industry, vol.81, pp.82-95, 2016. ,
Dynamic rescheduling in FMS that is simultaneously considering energy consumption and schedule efficiency, The International Journal of Advanced Manufacturing Technology, vol.87, issue.5-8, pp.1387-1399, 2016. ,
A GPUaccelerated branch-and-bound algorithm for the flow-shop scheduling problem, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00723736
, IEEE International Conference on, pp.10-17, 2012.
Tabu Search with two approaches to parallel flowshop evaluation on CUDA platform, Journal of Parallel and Distributed Computing, vol.71, issue.6, pp.802-811, 2011. ,
Scheduling hybrid flow shop with sequence-dependent setup times and machines with random breakdowns, The International Journal of Advanced Manufacturing Technology, vol.42, issue.1-2, pp.189-201, 2009. ,
CUDA by example: an introduction to generalpurpose GPU programming, 2010. ,
, , 2005.
, Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on, vol.2, pp.1115-1121
, Cellular genetic algorithms, vol.42, 2009.
A survey of parallel genetic algorithms. Calculateurs paralleles, reseaux et systems repartis, vol.10, pp.141-171, 1998. ,
A study of control parameters affecting online performance of genetic algorithms for function optimization, 1989. ,
Optimal synthesis of mechanisms with genetic algorithms. Mechanism and Machine theory, vol.37, pp.1165-1177, 2002. ,
Adaptive Computing in Design and Manufacture, 2009. ,
Predicting convergence time for genetic algorithms, Foundations of Genetic Algorithms, vol.2, pp.141-161, 1993. ,
Facing energy-aware scheduling: a multi-objective extension of a scheduling support system for improving energy efficiency in a moulding industry, Soft Computing, vol.21, issue.13, pp.3687-3698, 2017. ,
, , 2014.
, Reactive and energy-aware scheduling of flexible manufacturing systems using potential fields, Computers in Industry, vol.65, issue.3, pp.434-448
An investigation into minimising total energy consumption and total weighted tardiness in job shops, Journal of Cleaner Production, vol.65, pp.87-96, 2014. ,
A new operational framework to job shop scheduling for reducing carbon emissions, Automation Science and Engineering, pp.58-63, 2012. ,
Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm, Robotics and Computer-Integrated Manufacturing, vol.29, issue.5, pp.418-429, 2013. ,
A survey of dynamic scheduling in manufacturing systems, Journal of scheduling, vol.12, issue.4, p.417, 2009. ,
Energy-efficient dynamic scheduling for a flexible flow shop using an improved particle swarm optimization, Computers in Industry, vol.81, pp.82-95, 2016. ,
Dynamic rescheduling in FMS that is simultaneously considering energy consumption and schedule efficiency, The International Journal of Advanced Manufacturing Technology, vol.87, issue.5-8, pp.1387-1399, 2016. ,
Fast reactive scheduling to minimize tardiness penalty and energy cost under power consumption uncertainties, Computers & Industrial Engineering, vol.66, issue.2, pp.406-417, 2013. ,
Dynamic scheduling of multitask for hybrid flow-shop based on energy consumption, Information and Automation, 2009. ICIA'09. International Conference on, pp.478-482, 2009. ,
Scheduling hybrid flow shop with sequence-dependent setup times and machines with random breakdowns, The International Journal of Advanced Manufacturing Technology, vol.42, issue.1-2, pp.189-201, 2009. ,
A survey of parallel genetic algorithms. Calculateurs paralleles, reseaux et systems repartis, vol.10, pp.141-171, 1998. ,
Localization strategy for island model genetic algorithm to preserve population diversity, International Conference on Computer and Information Science, pp.149-161, 2017. ,
, , 2018.
, Hybrid multi-core CPU and GPU-based B&B approaches for the blocking job shop scheduling problem, Journal of Parallel and Distributed Computing, vol.117, pp.73-86
A mixed-precision algorithm for the solution of Lyapunov equations on hybrid CPU-GPU platforms, Parallel Computing, vol.37, issue.8, pp.439-450, 2011. ,
Hybrid cpu-gpu distributed framework for large scale mobile networks simulation, Proceedings of the 2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications, pp.44-53, 2012. ,
Complexity of machine scheduling problems, Annals of discrete mathematics, vol.1, pp.343-362, 1977. ,
Flow shop scheduling with peak power consumption constraints, Annals of Operations Research, vol.206, issue.1, pp.115-145, 2013. ,
One-machine rescheduling heuristics with efficiency and stability as criteria, Computers & Operations Research, vol.20, issue.1, pp.1-14, 1993. ,
Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption, Journal of Cleaner Production, vol.112, pp.3361-3375, 2016. ,
Multi-objective genetic algorithm for energy-efficient job shop scheduling, International Journal of Production Research, vol.53, issue.23, pp.7071-7089, 2015. ,
A hybrid genetic algorithm for the job shop scheduling problems, Computers & industrial engineering, vol.45, issue.4, pp.597-613, 2003. ,
Intelligent optimization scheduling algorithms for manufacturing process and their applications, p.334, 2008. ,
A pseudo genetic algorithm, Neural Computing and Applications, vol.19, issue.1, pp.77-83, 2010. ,
Adaptive probabilities of crossover and mutation in genetic algorithms, IEEE Transactions on Systems, Man, and Cybernetics, vol.24, issue.4, pp.656-667, 1994. ,
New search spaces for sequencing problems with application to job shop scheduling, Management science, vol.38, issue.10, pp.1495-1509, 1992. ,
Probabilistic learning combinations of local job-shop scheduling rules, 1963. ,
GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow shop scheduling problem, Journal of Parallel and Distributed Computing, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-02076604
A Survey on Parallel Genetic Algorithms for Shop Scheduling Problems, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp.629-636, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-02091699
Acceleration of a CUDA-Based Hybrid Genetic Algorithm and its Application to a Flexible Flow Shop Scheduling Problem, 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), pp.117-122, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-02091695
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