A real-coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization KSN Ripon, S Kwong, KF Man Information Sciences 177 (2), 632-654, 2007 | 144 | 2007 |
Adaptive variable neighborhood search for solving multi-objective facility layout problems with unequal area facilities KSN Ripon, K Glette, KN Khan, M Hovin, J Torresen Swarm and Evolutionary Computation 8, 1-12, 2013 | 55 | 2013 |
Multi-objective evolutionary clustering using variable-length real jumping genes genetic algorithm KSN Ripon, CH Tsang, S Kwong, MK Ip 18th International Conference on Pattern Recognition (ICPR'06) 1, 1200-1203, 2006 | 40 | 2006 |
An evolutionary approach for solving the multi-objective job-shop scheduling problem KSN Ripon, CH Tsang, S Kwong Evolutionary Scheduling, 165-195, 2007 | 33 | 2007 |
Using Pareto-optimality for solving multi-objective unequal area facility layout problem KSN Ripon, KN Khan, K Glette, M Hovin, J Torresen 13th Annual Conference on Genetic and Evolutionary Computation (GECCO-13 …, 2011 | 28 | 2011 |
Evolutionary multi-objective clustering for overlapping clusters detection KSN Ripon, MNH Siddique 2009 IEEE Congress on Evolutionary Computation, 976-982, 2009 | 24 | 2009 |
Improved precedence preservation crossover for multi-objective job shop scheduling problem KSN Ripon, NH Siddique, J Torresen Evolving Systems 2 (2), 119-129, 2011 | 23 | 2011 |
Multi-objective data clustering using variable-length real jumping genes genetic algorithm and local search method KSN Ripon, CH Tsang, S Kwong The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 21 | 2006 |
Hybrid evolutionary approach for multi-objective job-shop scheduling problem KSN Ripon Malaysian Journal of Computer Science 20 (2), 183 – 198, 2007 | 20 | 2007 |
Integrated job shop scheduling and layout planning: A hybrid evolutionary method for optimizing multiple objectives KSN Ripon, J Torresen Evolving Systems 5 (2), 121-132, 2014 | 19 | 2014 |
Dynamic facility layout problem under uncertainty: a Pareto-optimality based multi-objective evolutionary approach K Ripon, K Glette, M Hovin, J Torresen Central European Journal of Computer Science 1 (4), 375-386, 2011 | 17 | 2011 |
Pareto optimal based evolutionary approach for solving multi-objective facility layout problem KSN Ripon, K Glette, O Mirmotahari, M Høvin, J Tørresen International Conference on Neural Information Processing, 159-168, 2009 | 15 | 2009 |
Multi-objective evolutionary job-shop scheduling using jumping genes genetic algorithm KSN Ripon, CH Tsang, S Kwong The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 15 | 2006 |
A genetic algorithm to find pareto-optimal solutions for the dynamic facility layout problem with multiple objectives KSN Ripon, K Glette, M Høvin, J Torresen International Conference on Neural Information Processing, 642-651, 2010 | 14 | 2010 |
A domain-independent data cleaning algorithm for detecting similar-duplicates KSN Ripon, A Rahman, GMA Rahaman Journal of Computers 5 (12), 1800-9, 2010 | 13 | 2010 |
Dynamic facility layout problem with hybrid genetic algorithm KSN Ripon, K Glette, M Høvin, J Tørresen 2010 IEEE 9th International Conference on Cyberntic Intelligent Systems, 1-6, 2010 | 11 | 2010 |
An adaptive local search based genetic algorithm for solving multi-objective facility layout problem KSN Ripon, K Glette, M Høvin, J Torresen International Conference on Neural Information Processing, 540-550, 2010 | 10 | 2010 |
Job shop scheduling with transportation delays and layout planning in manufacturing systems: a multi-objective evolutionary approach KSN Ripon, K Glette, M Hovin, J Torresen International Conference on Autonomous and Intelligent Systems, 209-219, 2012 | 9 | 2012 |
Genetic algorithm using a modified backward pass heuristic for the dynamic facility layout problem KSN Ripon, K Glette, D Koch, M Hovin, J Torresen Paladyn, Journal of Behavioral Robotics 2 (3), 164-174, 2011 | 9 | 2011 |
Multi-objective evolutionary approach for solving facility layout problem using local search KSN Ripon, K Glette, M Høvin, J Tørresen Proceedings of the 2010 ACM Symposium on Applied Computing, 1155-1156, 2010 | 9 | 2010 |