Wang, X., Veeravalli, B., Song, J., and Liu, H. (2023). On the design and evaluation of an optimal security-and-time cognizant data placement for dynamic fog environments. IEEE Transactions on Parallel and Distributed Systems, 34(2), 489–500. [ www ]
Zhou, Y., Ren, Y., Xu, M., and Feng, G. (2023). An improved NSGA-III algorithm based on deep q-networks for cloud storage optimization of blockchain. IEEE Transactions on Parallel and Distributed Systems, 34(5), 1406–1419. [ www ]
Qin, S., Pi, D., Shao, Z., Xu, Y., and Chen, Y. (2023). Reliability-aware multi-objective memetic algorithm for workflow scheduling problem in multi-cloud system. IEEE Transactions on Parallel and Distributed Systems, 34(4), 1343–1361. [ www ]
Zhou, H., Li, M., Wang, N., Min, G., and Wu, J. (2023). Accelerating deep learning inference via model parallelism and partial computation offloading. IEEE Transactions on Parallel and Distributed Systems, 34(2), 475–488. [ www ] (PSO)
Bird, R., Tan, N., Luedtke, S. V., Harrell, S. L., Taufer, M., and Albright, B. (2022). VPIC 2.0: Next generation particle-in-cell simulations. IEEE Transactions on Parallel and Distributed Systems, 33(4), 952–963. [ www ]
Li, H., Wang, D., Zhou, M., Fan, Y., and Xia, Y. (2022). Multi-swarm co-evolution based hybrid intelligent optimization for bi-objective multi-workflow scheduling in the cloud. IEEE Transactions on Parallel and Distributed Systems, 33(9), 2183–2197. [ www ]
Titirsha, T., Song, S., Das, A., Krichmar, J., Dutt, N., Kandasamy, N., and Catthoor, F. (2022). Endurance-aware mapping of spiking neural networks to neuromorphic hardware. IEEE Transactions on Parallel and Distributed Systems, 33(2), 288–301. [ www ] (PSO)
Chen, X., Zhang, J., Lin, B., Chen, Z., Wolter, K., and Min, G. (2022). Energy-efficient offloading for DNN-based smart IoT systems in cloud-edge environments. IEEE Transactions on Parallel and Distributed Systems, 33(3), 683–697. [ www ] (PSO)
Liu, X., Sun, J., Zheng, L., Wang, S., Liu, Y. and Wei, T., 2021. Parallelization and optimization of NSGA-II on Sunway TaihuLight system. IEEE Transactions on Parallel and Distributed Systems, 32(4), pp.975-987. [ www ] (Parallel NSGA-II on SuperComputer)
Ye, Q., Sun, Y., Zhang, J. and Lv, J., 2021. A distributed framework for EA-based NAS. IEEE Transactions on Parallel and Distributed Systems, 32(7), pp.1753-1764. [ www ] ( Distributed GA | NE | GPUs )
Singh, A. K., Saxena, D., Kumar, J., and Gupta, V. (2021). A quantum approach towards the adaptive prediction of cloud workloads. IEEE Transactions on Parallel and Distributed Systems, 32(12), 2893–2905. [ www ] (DE)
Ye, Q., Sun, Y., Zhang, J., and Lv, J. (2021). A distributed framework for EA-based NAS. IEEE Transactions on Parallel and Distributed Systems, 32(7), 1753–1764. [ www ]
Wen, Z., Lin, T., Yang, R., Ji, S., Ranjan, R., Romanovsky, A., Lin, C. and Xu, J., 2020. Ga-par: Dependable microservice orchestration framework for geo-distributed clouds. IEEE Transactions on Parallel and Distributed Systems, 31(1), pp.129-143. [ www ] (Distributed GA on Google Cloud)
Santander-Jimenez, S. and Vega-Rodriguez, M.A., 2019. Comparative analysis of intra-algorithm parallel multiobjective evolutionary algorithms: Taxonomy implications on bioinformatics scenarios. IEEE Transactions on Parallel and Distributed Systems, 30(1), pp.63-78. [ www ] (Parallel NAGA-II and MOEA/D on a Shared-Memory Commodity Server)
Wang, L. (2019). Architecture-based reliability-sensitive criticality measure for fault-tolerance cloud applications. IEEE Transactions on Parallel and Distributed Systems, 30(11), 2408–2421. [ www ] (PSO)
Guerrero, C., Lera, I., Bermejo, B., and Juiz, C. (2018). Multi-objective optimization for virtual machine allocation and replica placement in virtualized hadoop. IEEE Transactions on Parallel and Distributed Systems, 29(11), 2568–2581. [ www ]
Zhao, H., Wang, J., Liu, F., Wang, Q., Zhang, W., and Zheng, Q. (2018). Power-aware and performance-guaranteed virtual machine placement in the cloud. IEEE Transactions on Parallel and Distributed Systems, 29(6), 1385–1400. [ www ] (ACO)
Meyerhenke, H., Sanders, P. and Schulz, C., 2017. Parallel graph partitioning for complex networks. IEEE Transactions on Parallel and Distributed Systems, 28(9), pp.2625-2638. [ www | C++ ] (Distributed MA on a Cluster of Commodity Servers)
Santander-Jimenez, S. and Vega-Rodríguez, M.A., 2017. Asynchronous non-generational model to parallelize metaheuristics: A bioinformatics case study. IEEE Transactions on Parallel and Distributed Systems, 28(7), pp.1825-1838. [ www ]
Zhan, Z.H., Liu, X.F., Zhang, H., Yu, Z., Weng, J., Li, Y., Gu, T. and Zhang, J., 2017. Cloudde: A heterogeneous differential evolution algorithm and its distributed cloud version. IEEE Transactions on Parallel and Distributed Systems, 28(3), pp.704-716. [ www | pdf ] (Distributed DE on Cloud)
Wachowiak, M.P., Timson, M.C. and DuVal, D.J., 2017. Adaptive particle swarm optimization with heterogeneous multicore parallelism and GPU acceleration. IEEE Transactions on Parallel and Distributed Systems, 28(10), pp.2784-2793. [ www ] (Parallel PSO on GPU)
Kan, G., Lei, T., Liang, K., Li, J., Ding, L., He, X., Yu, H., Zhang, D., Zuo, D., Bao, Z. and Amo-Boateng, M., 2017. A multi-core CPU and many-core GPU based fast parallel shuffled complex evolution global optimization approach. IEEE Transactions on Parallel and Distributed Systems, 28(2), pp.332-344. [ www ] (Parallel MA on GPU)
Wu, Q., Ishikawa, F., Zhu, Q., Xia, Y., and Wen, J. (2017). Deadline-constrained cost optimization approaches for workflow scheduling in clouds. IEEE Transactions on Parallel and Distributed Systems, 28(12), 3401–3412. [ www ] (ACO)
Sheikh, H. F., Ahmad, I., and Fan, D. (2016). An evolutionary technique for performance-energy-temperature optimized scheduling of parallel tasks on multi-core processors. IEEE Transactions on Parallel and Distributed Systems, 27(3), 668–681. [ www ]
Zhu, Z., Zhang, G., Li, M., and Liu, X. (2016). Evolutionary multi-objective workflow scheduling in cloud. IEEE Transactions on Parallel and Distributed Systems, 27(5), 1344–1357. [ www ]
Santander-Jimenez, S. and Vega-Rodriguez, M.A., 2015. Parallel multiobjective metaheuristics for inferring phylogenies on multicore clusters. IEEE Transactions on Parallel and Distributed Systems, 26(6), pp.1678-1692. [ www ] (Distributed NSGA-II on a Cluster of Commodity Servers)
Guo, W., Li, J., Chen, G., Niu, Y., and Chen, C. (2015). A PSO-optimized real-time fault-tolerant task allocation algorithm in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 26(12), 3236–3249. [ www ] (PSO)
Chen, H., Flann, N.S. and Watson, D.W., 1998. Parallel genetic simulated annealing: A massively parallel SIMD algorithm. IEEE Transactions on Parallel and Distributed Systems, 9(2), pp.126-136. [ www ]
Lee, S.Y. and Lee, K.G., 1996. Synchronous and asynchronous parallel simulated annealing with multiple Markov chains. IEEE Transactions on Parallel and Distributed Systems, 7(10), pp.993-1008. [ www ]
Witte, E.E., Chamberlain, R.D. and Franklin, M.A., 1991. Parallel simulated annealing using speculative computation. IEEE Transactions on Parallel and Distributed Systems, 2(4), pp.483-494. [ www ]
Banerjee, P., Jones, M.H. and Sargent, J.S., 1990. Parallel simulated annealing algorithms for cell placement on hypercube multiprocessors. IEEE Transactions on Parallel and Distributed Systems, 1(1), pp.91-106. [ www ]