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Salwani Abdullah
Also published under:
Affiliation
Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Topic
Search Space,Benchmark Datasets,Candidate Solutions,Objective Function,Approaches In The Literature,Feasible Solution,Function Tests,Hard Constraints,Hybrid Approach,Local Optimum,Long Short-term Memory,Mathematical Optimization,Mixed-integer Programming,Optimization Algorithm,Optimization Problem,Paper Surveys,Particle Swarm Optimization,Population Of Solutions,Population-based Algorithm,Soft Constraints,Solution Methodology,Variable Neighbourhood Search,Ant Colony Optimization,Asset Returns,Automatic Selection,Basic Algorithm,Benchmark Functions,Benchmark Instances,Boolean Variable,Central Composite Design,Channel Estimation,Channel Estimation Error,Classification Accuracy,Conditional Value At Risk,Constraint Programming,Constructive Heuristic,Convergence Rate,Crossover Operator,Degree Of Saturation,Diversity Gain,Engineering Problems,Equivalence Relation,Exchange-traded Funds,Exhaustive Search,Feature Selection Problem,Fewer Features,Fitness Function,Floor And Ceiling,Framework Section,Friedman Test,
Biography
Salwani Abdullah received the B.Sc. degree in computer science from the Universiti Teknologi Malaysia, the master’s degree in computer science from the Universiti Kebangsaan Malaysia (UKM), and the Ph.D. degree in computer science from the University of Nottingham, U.K. She is currently a Professor in combinatorial optimisation with the Faculty of Information Science and Technology, UKM. Her research interests include artificial intelligence and operation research, particularly in meta-heuristic algorithms in optimisation areas that involve different real world applications in static and dynamic optimisation problems, such as university timetabling, job shop scheduling, nurse rostering, space allocation, and data mining tasks.