| 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 … R Zhang, R Chiong Journal of Cleaner Production 112, 3361-3375, 2016 | 350 | 2016 |
| Parallel machine scheduling under time-of-use electricity prices: New models and optimization approaches JY Ding, S Song, R Zhang, R Chiong, C Wu IEEE Transactions on Automation Science and Engineering 13 (2), 1138-1154, 2016 | 199 | 2016 |
| An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem JY Ding, S Song, JND Gupta, R Zhang, R Chiong, C Wu Applied Soft Computing 30, 604-613, 2015 | 155 | 2015 |
| A hybrid artificial bee colony algorithm for the job shop scheduling problem R Zhang, S Song, C Wu International Journal of Production Economics 141 (1), 167-178, 2013 | 147 | 2013 |
| A hybrid immune simulated annealing algorithm for the job shop scheduling problem R Zhang, C Wu Applied Soft Computing 10 (1), 79-89, 2010 | 127 | 2010 |
| A simulated annealing algorithm based on block properties for the job shop scheduling problem with total weighted tardinessobjective R Zhang, C Wu Computers & Operations Research 38 (5), 854-867, 2011 | 99 | 2011 |
| A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines M Abedi, R Chiong, N Noman, R Zhang Expert Systems with Applications 157, 113348, 2020 | 96 | 2020 |
| A simulation-based genetic algorithm approach for remanufacturing process planning and scheduling R Zhang, SK Ong, AYC Nee Applied Soft Computing 37, 521-532, 2015 | 89 | 2015 |
| A multi-objective artificial bee colony algorithm for parallel batch-processing machine scheduling in fabric dyeing processes R Zhang, PC Chang, S Song, C Wu Knowledge-Based Systems 116, 114-129, 2017 | 71 | 2017 |
| Distributionally robust single machine scheduling with risk aversion Z Chang, S Song, Y Zhang, JY Ding, R Zhang, R Chiong European Journal of Operational Research 256 (1), 261-274, 2017 | 71 | 2017 |
| A hybrid approach to large-scale job shop scheduling R Zhang, C Wu Applied intelligence 32, 47-59, 2010 | 70 | 2010 |
| A two-stage hybrid particle swarm optimization algorithm for the stochastic job shop scheduling problem R Zhang, S Song, C Wu Knowledge-Based Systems 27, 393-406, 2012 | 68 | 2012 |
| Robust scheduling of hot rolling production by local search enhanced ant colony optimization algorithm R Zhang, S Song, C Wu IEEE Transactions on Industrial Informatics 16 (4), 2809-2819, 2020 | 58 | 2020 |
| A hybrid differential evolution algorithm for job shop scheduling problems with expected total tardiness criterion R Zhang, S Song, C Wu Applied Soft Computing 13 (3), 1448-1458, 2013 | 55 | 2013 |
| An artificial bee colony algorithm for the job shop scheduling problem with random processing times R Zhang, C Wu Entropy 13 (9), 1708-1729, 2011 | 53 | 2011 |
| Bottleneck machine identification method based on constraint transformation for job shop scheduling with genetic algorithm R Zhang, C Wu Information Sciences 188, 236-252, 2012 | 49 | 2012 |
| Local search enhanced multi-objective PSO algorithm for scheduling textile production processes with environmental considerations R Zhang, PC Chang, S Song, C Wu Applied Soft Computing 61, 447-467, 2017 | 40 | 2017 |
| Accelerated methods for total tardiness minimisation in no-wait flowshops J Ding, S Song, R Zhang, JND Gupta, C Wu International Journal of Production Research 53 (4), 1002-1018, 2015 | 37 | 2015 |
| Investigating the impact of operational variables on manufacturing cost by simulation optimization R Zhang, WC Chiang, C Wu International Journal of Production Economics 147, 634-646, 2014 | 36 | 2014 |
| A hybrid genetic algorithm for the job shop scheduling problem with practical considerations for manufacturing costs: Investigations motivated by vehicle production R Zhang, PC Chang, C Wu International Journal of Production Economics 145 (1), 38-52, 2013 | 35 | 2013 |
Shiji SongTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
