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Nasser R. Sabar
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2020 – today
- 2024
- [j37]Emily Sing Kiang Siew, San-Nah Sze, Say Leng Goh, Graham Kendall, Nasser R. Sabar, Salwani Abdullah:
A Survey of Solution Methodologies for Exam Timetabling Problems. IEEE Access 12: 41479-41498 (2024) - [j36]Chong Man Ngoo, Say Leng Goh, San-Nah Sze, Nasser R. Sabar, Mohd. Hanafi Ahmad Hijazi, Graham Kendall:
A survey of mat-heuristics for combinatorial optimisation problems: Variants, trends and opportunities. Appl. Soft Comput. 164: 111947 (2024) - 2023
- [j35]Zi Xuan Loke, Say Leng Goh, Graham Kendall, Salwani Abdullah, Nasser R. Sabar:
Portfolio Optimization Problem: A Taxonomic Review of Solution Methodologies. IEEE Access 11: 33100-33120 (2023) - [j34]Jiashen Tang, Shuping Dang, Salwani Abdullah, Mohd Zakree Ahmad Nazri, Nasser R. Sabar:
Enabling Combined Relay Selection in Stochastic Wireless Networks by Recurrent Neural Computing. IEEE Trans. Mob. Comput. 22(11): 6410-6426 (2023) - [c36]Zheping Liu, Andy Song, Nasser R. Sabar, Takero Izuhara, A. Kai Qin:
Evolution Enhancing Property Price Prediction by Generating Artificial Transaction Data. GECCO Companion 2023: 739-742 - [c35]Norizal Abdullah, Masri Ayob, Nasser R. Sabar, Meng Chun Lam, Liu Chian Yong:
An On-Call Shift for Anaesthetist Rostering Problem (ARP): A Mathematical Model. IICAIET 2023: 84-89 - [c34]Zheping Liu, Andy Song, Nasser R. Sabar, Wenkai Li:
Evolving a Better Scheduler for Diffusion Models. PRICAI (2) 2023: 398-409 - 2022
- [j33]Chong Man Ngoo, Say Leng Goh, San-Nah Sze, Nasser R. Sabar, Salwani Abdullah, Graham Kendall:
A Survey of the Nurse Rostering Solution Methodologies: The State-of-the-Art and Emerging Trends. IEEE Access 10: 56504-56524 (2022) - [j32]Say Leng Goh, San-Nah Sze, Nasser R. Sabar, Salwani Abdullah, Graham Kendall:
A 2-Stage Approach for the Nurse Rostering Problem. IEEE Access 10: 69591-69604 (2022) - [j31]Saad Adnan Abed, Helmi Md Rais, Junzo Watada, Nasser R. Sabar:
A hybrid local search algorithm for minimum dominating set problems. Eng. Appl. Artif. Intell. 114: 105053 (2022) - [j30]Chaitrali Shirke, Nasser R. Sabar, Edward Chung, Ashish Bhaskar:
Metaheuristic approach for designing robust traffic signal timings to effectively serve varying traffic demand. J. Intell. Transp. Syst. 26(3): 343-355 (2022) - [j29]Nasser R. Sabar, Say Leng Goh, Ayad Turky, Graham Kendall:
Population-Based Iterated Local Search Approach for Dynamic Vehicle Routing Problems. IEEE Trans Autom. Sci. Eng. 19(4): 2933-2943 (2022) - [c33]Zheping Liu, Nasser R. Sabar, Andy Song:
Improving Evolutionary Generative Adversarial Networks. AI 2022: 691-702 - [c32]Zheping Liu, Andy Song, Nasser R. Sabar:
KDE-GAN: enhancing evolutionary GAN with knowledge distillation and transfer learning. GECCO Companion 2022: 268-271 - 2021
- [j28]Salwani Abdullah, Ayad Turky, Mohd Zakree Ahmad Nazri, Nasser R. Sabar:
An Evolutionary Variable Neighbourhood Search for the Unrelated Parallel Machine Scheduling Problem. IEEE Access 9: 42857-42867 (2021) - [j27]Mei Ching Chen, San-Nah Sze, Say Leng Goh, Nasser R. Sabar, Graham Kendall:
A Survey of University Course Timetabling Problem: Perspectives, Trends and Opportunities. IEEE Access 9: 106515-106529 (2021) - [j26]Joo Siang Tan, Say Leng Goh, Graham Kendall, Nasser R. Sabar:
A survey of the state-of-the-art of optimisation methodologies in school timetabling problems. Expert Syst. Appl. 165: 113943 (2021) - [j25]Joo Siang Tan, Say Leng Goh, Suaini Sura, Graham Kendall, Nasser R. Sabar:
Hybrid particle swarm optimization with particle elimination for the high school timetabling problem. Evol. Intell. 14(4): 1915-1930 (2021) - [c31]Zheping Liu, Nasser R. Sabar, Andy Song:
Partial Transfer Learning for Fast Evolutionary Generative Adversarial Networks. IJCNN 2021: 1-7 - 2020
- [j24]Nasser R. Sabar, Ayad Turky, Andy Song, Abdul Sattar:
An evolutionary hyper-heuristic to optimise deep belief networks for image reconstruction. Appl. Soft Comput. 97(Part B): 105510 (2020) - [j23]Ayad Turky, Nasser R. Sabar, Simon Dunstall, Andy Song:
Hyper-heuristic local search for combinatorial optimisation problems. Knowl. Based Syst. 205: 106264 (2020) - [j22]Nasser R. Sabar, Ashish Bhaskar, Edward Chung, Ayad Turky, Andy Song:
An Adaptive Memetic Approach for Heterogeneous Vehicle Routing Problems with two-dimensional loading constraints. Swarm Evol. Comput. 58: 100730 (2020)
2010 – 2019
- 2019
- [j21]Say Leng Goh, Graham Kendall, Nasser R. Sabar:
Simulated annealing with improved reheating and learning for the post enrolment course timetabling problem. J. Oper. Res. Soc. 70(6): 873-888 (2019) - [j20]Nasser R. Sabar, Ashish Bhaskar, Edward Chung, Ayad Turky, Andy Song:
A self-adaptive evolutionary algorithm for dynamic vehicle routing problems with traffic congestion. Swarm Evol. Comput. 44: 1018-1027 (2019) - [c30]Nasser R. Sabar, Ayad Turky, Andy Song:
Adaptive Multi-optimiser Cooperative Co-evolution for Large-Scale Optimisation. CEC 2019: 705-712 - 2018
- [j19]Nasser R. Sabar, Xun Yi, Andy Song:
A Bi-objective Hyper-Heuristic Support Vector Machines for Big Data Cyber-Security. IEEE Access 6: 10421-10431 (2018) - [j18]Ayad Turky, Nasser R. Sabar, Andy Song:
Cooperative evolutionary heterogeneous simulated annealing algorithm for google machine reassignment problem. Genet. Program. Evolvable Mach. 19(1-2): 183-210 (2018) - [c29]Ayad Turky, Nasser R. Sabar, Simon Dunstall, Andy Song:
Hyper-heuristic Based Local Search for Combinatorial Optimisation Problems. Australasian Conference on Artificial Intelligence 2018: 312-317 - [c28]Nasser R. Sabar, Ayad Turky, Andy Song:
A genetic programming based iterated local search for software project scheduling. GECCO 2018: 1364-1370 - [c27]Nasser R. Sabar, Ayad Turky, Mark Leenders, Andy Song:
Multi-population Genetic Algorithm for Cardinality Constrained Portfolio Selection Problems. ICCS (1) 2018: 129-140 - [c26]Muneeb Ul Hassan, Nasser R. Sabar, Andy Song:
Optimising Deep Learning by Hyper-heuristic Approach for Classifying Good Quality Images. ICCS (2) 2018: 528-539 - [c25]Majdi M. Mafarja, Nasser R. Sabar:
Rank based binary particle swarm optimisation for feature selection in classification. ICFNDS 2018: 19:1-19:6 - 2017
- [j17]Esam Taha Yassen, Masri Ayob, Mohd Zakree Ahmad Nazri, Nasser R. Sabar:
An adaptive hybrid algorithm for vehicle routing problems with time windows. Comput. Ind. Eng. 113: 382-391 (2017) - [j16]Nasser R. Sabar, Le Minh Kieu, Edward Chung, Takahiro Tsubota, Paulo Eduardo Maciel de Almeida:
A memetic algorithm for real world multi-intersection traffic signal optimisation problems. Eng. Appl. Artif. Intell. 63: 45-53 (2017) - [j15]Say Leng Goh, Graham Kendall, Nasser R. Sabar:
Improved local search approaches to solve the post enrolment course timetabling problem. Eur. J. Oper. Res. 261(1): 17-29 (2017) - [j14]Rafidah Abdul Aziz, Masri Ayob, Zalinda Othman, Zulkifli Ahmad, Nasser R. Sabar:
An adaptive guided variable neighborhood search based on honey-bee mating optimization algorithm for the course timetabling problem. Soft Comput. 21(22): 6755-6765 (2017) - [j13]Nasser R. Sabar, Jemal H. Abawajy, John Yearwood:
Heterogeneous Cooperative Co-Evolution Memetic Differential Evolution Algorithm for Big Data Optimization Problems. IEEE Trans. Evol. Comput. 21(2): 315-327 (2017) - [c24]Ayad Turky, Nasser R. Sabar, Andy Song:
Neighbourhood Analysis: A Case Study on Google Machine Reassignment Problem. ACALCI 2017: 228-237 - [c23]Nasser R. Sabar, Aldeida Aleti:
An Adaptive Memetic Algorithm for the Architecture Optimisation Problem. ACALCI 2017: 254-265 - [c22]Nasser R. Sabar, Ayad Turky, Andy Song, Abdul Sattar:
Optimising Deep Belief Networks by hyper-heuristic approach. CEC 2017: 2738-2745 - [c21]Ayad Turky, Nasser R. Sabar, Abdul Sattar, Andy Song:
Evolutionary Learning Based Iterated Local Search for Google Machine Reassignment Problems. SEAL 2017: 409-421 - [c20]Ayad Turky, Nasser R. Sabar, Abdul Sattar, Andy Song:
Multi-neighbourhood Great Deluge for Google Machine Reassignment Problem. SEAL 2017: 706-715 - 2016
- [j12]Graham Kendall, Ruibin Bai, Jacek Blazewicz, Patrick De Causmaecker, Michel Gendreau, Robert I. John, Jiawei Li, Barry McCollum, Erwin Pesch, Rong Qu, Nasser R. Sabar, Greet Vanden Berghe, Angelina Yee:
Good Laboratory Practice for optimization research. J. Oper. Res. Soc. 67(4): 676-689 (2016) - [c19]Ayad Turky, Nasser R. Sabar, Abdul Sattar, Andy Song:
Parallel Late Acceptance Hill-Climbing Algorithm for the Google Machine Reassignment Problem. Australasian Conference on Artificial Intelligence 2016: 163-174 - [c18]Ayad Mashaan Turky, Nasser R. Sabar, Andy Song:
A multi-population memetic algorithm for dynamic shortest path routing in mobile ad-hoc networks. CEC 2016: 4119-4126 - [c17]Nasser R. Sabar, Andy Song, Mengjie Zhang:
A Variable Local Search Based Memetic Algorithm for the Load Balancing Problem in Cloud Computing. EvoApplications (1) 2016: 267-282 - [c16]Nasser R. Sabar, Andy Song:
Grammatical Evolution Enhancing Simulated Annealing for the Load Balancing Problem in Cloud Computing. GECCO 2016: 997-1003 - [c15]Ayad Turky, Nasser R. Sabar, Andy Song:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 431-442 - [c14]Nasser R. Sabar, Ayad Mashaan Turky, Andy Song:
A Multi-memory Multi-population Memetic Algorithm for Dynamic Shortest Path Routing in Mobile Ad-hoc Networks. PRICAI 2016: 406-418 - 2015
- [j11]Esam Taha Yassen, Masri Ayob, Mohd Zakree Ahmad Nazri, Nasser R. Sabar:
A Hybrid Meta-Heuristic Algorithm for Vehicle Routing Problem with Time Windows. Int. J. Artif. Intell. Tools 24(6): 1550021:1-1550021:23 (2015) - [j10]Nasser R. Sabar, Graham Kendall:
Population based Monte Carlo tree search hyper-heuristic for combinatorial optimization problems. Inf. Sci. 314: 225-239 (2015) - [j9]Esam Taha Yassen, Masri Ayob, Mohd Zakree Ahmad Nazri, Nasser R. Sabar:
Meta-harmony search algorithm for the vehicle routing problem with time windows. Inf. Sci. 325: 140-158 (2015) - [j8]Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu:
A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems. IEEE Trans. Cybern. 45(2): 217-228 (2015) - [j7]Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu:
Automatic Design of a Hyper-Heuristic Framework With Gene Expression Programming for Combinatorial Optimization Problems. IEEE Trans. Evol. Comput. 19(3): 309-325 (2015) - [c13]Nasser R. Sabar, Xiuzhen Jenny Zhang, Andy Song:
A math-hyper-heuristic approach for large-scale vehicle routing problems with time windows. CEC 2015: 830-837 - [c12]Nasser R. Sabar, Andy Song, Zahir Tari, Xun Yi, Albert Y. Zomaya:
A Memetic Algorithm for Dynamic Shortest Path Routing on Mobile Ad-hoc Networks. ICPADS 2015: 60-67 - 2014
- [j6]Anmar Abuhamdah, Masri Ayob, Graham Kendall, Nasser R. Sabar:
Population based Local Search for university course timetabling problems. Appl. Intell. 40(1): 44-53 (2014) - [j5]Salwani Abdullah, Nasser R. Sabar, Mohd Zakree Ahmad Nazri, Masri Ayob:
An Exponential Monte-Carlo algorithm for feature selection problems. Comput. Ind. Eng. 67: 160-167 (2014) - [c11]Ayad Mashaan Turky, Salwani Abdullah, Nasser R. Sabar:
Electromagnetic algorithm for tuning the structure and parameters of neural networks. IEEE Congress on Evolutionary Computation 2014: 326-331 - [c10]Nasser R. Sabar, Graham Kendall:
Using harmony search with multiple pitch adjustment operators for the portfolio selection problem. IEEE Congress on Evolutionary Computation 2014: 499-503 - [c9]Nasser R. Sabar, Graham Kendall:
Aircraft landing problem using hybrid differential evolution and simple descent algorithm. IEEE Congress on Evolutionary Computation 2014: 520-527 - [c8]Ayad Mashaan Turky, Salwani Abdullah, Nasser R. Sabar:
A Hybrid Harmony Search Algorithm for Solving Dynamic Optimisation Problems. ICCS 2014: 1926-1936 - [c7]Nasser R. Sabar, Andy Song:
Dual Population Genetic Algorithm for the Cardinality Constrained Portfolio Selection Problem. SEAL 2014: 703-712 - 2013
- [j4]Mohammed Hadwan, Masri Ayob, Nasser R. Sabar, Rong Qu:
A harmony search algorithm for nurse rostering problems. Inf. Sci. 233: 126-140 (2013) - [j3]Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu:
Grammatical Evolution Hyper-Heuristic for Combinatorial Optimization Problems. IEEE Trans. Evol. Comput. 17(6): 840-861 (2013) - 2012
- [j2]Nasser R. Sabar, Masri Ayob, Rong Qu, Graham Kendall:
A graph coloring constructive hyper-heuristic for examination timetabling problems. Appl. Intell. 37(1): 1-11 (2012) - [j1]Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu:
A honey-bee mating optimization algorithm for educational timetabling problems. Eur. J. Oper. Res. 216(3): 533-543 (2012) - [c6]Esam Taha Yassen, Masri Ayob, Mohd Zakree Ahmad Nazri, Nasser R. Sabar:
Multi-parent insertion crossover for vehicle routing problem with time windows. DMO 2012: 103-108 - 2010
- [c5]Salwani Abdullah, Nasser R. Sabar, Mohd Zakree Ahmad Nazri, Hamza Turabieh, Barry McCollum:
A constructive hyper-heuristics for rough set attribute reduction. ISDA 2010: 1032-1035
2000 – 2009
- 2009
- [c4]Nasser R. Sabar, Masri Ayob, Graham Kendall:
Tabu exponential Monte-Carlo with counter heuristic for examination timetabling. CISched 2009: 90-94 - [c3]Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu:
Roulette Wheel Graph Colouring for Solving Examination Timetabling Problems. COCOA 2009: 463-470 - [c2]Nasser R. Sabar, Masri Binti Ayob:
Examination timetabling using scatter search hyper-heuristic. DMO 2009: 127-131 - [c1]Ayad Mashaan Turky, Mohd Saufi Ahmad, Mohd Zaliman M. Yusoff, Nasser R. Sabar:
Genetic Algorithm Application for Traffic Light Control. UNISCON 2009: 115-120
Coauthor Index
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last updated on 2024-09-10 02:11 CEST by the dblp team
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