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Trung Thanh Nguyen
Liverpool John Moores University
Machine learningMathematical optimizationOptimization problemEvolutionary algorithmComputer science
59Publications
15H-index
1,189Citations
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Publications 67
Newest
#1Van Truong VuH-Index: 2
#2Lam Thu BuiH-Index: 15
Last. Trung Thanh NguyenH-Index: 15
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#1Trung Thanh NguyenH-Index: 15
#2Raymond G. GosineH-Index: 20
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#1Danial Yazdani (SU: Southern University and A&M College)H-Index: 1
#2Mohammad Nabi Omidvar (University of Birmingham)H-Index: 15
Last. Xin Yao (SU: Southern University and A&M College)H-Index: 82
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Scalability is a crucial aspect of designing efficient algorithms. Despite their prevalence, large-scale dynamic optimization problems are not well-studied in the literature. This paper is concerned with designing benchmarks and frameworks for the study of large-scale dynamic optimization problems. We start by a formal analysis of the moving peaks benchmark and show its nonseparable nature irrespective of its number of peaks. We then propose a composite moving peaks benchmark suite with exploita...
2 CitationsSource
#1Van Truong VuH-Index: 2
#2Lam Thu BuiH-Index: 15
Last. Trung Thanh NguyenH-Index: 15
view all 3 authors...
Source
#1Igor Deplano (LJMU: Liverpool John Moores University)H-Index: 1
#2Charly Lersteau (LJMU: Liverpool John Moores University)H-Index: 2
Last. Trung Thanh Nguyen (LJMU: Liverpool John Moores University)H-Index: 15
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#1Van Truong Vu (Le Quy Don Technical University)H-Index: 2
#2Lam Thu Bui (Le Quy Don Technical University)H-Index: 15
Last. Trung Thanh Nguyen (LJMU: Liverpool John Moores University)H-Index: 15
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A current problem that classification algorithms on high-resolution satellite images are addressing is the feature selection problem (FSP). The number of object’s features on satellite images is often very large. However, not all these features contribute equally to the classification results. There are still many redundant, unrelated features. It is, therefore, necessary to select these features before performing the classification step. Besides, with the selected feature set, selecting a suita...
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#2Liang Han (MMU: Manchester Metropolitan University)H-Index: 94
Last. Princy JohnsonH-Index: 7
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Traffic flow exhibits different magnitudes of temporal patterns, such as short-term (daily and weekly) and long-term (monthly and yearly). Existing research into road traffic flow prediction has focused on short-term patterns; little research has been done to determine the effect of different long-term patterns on road traffic flow prediction. Providing more temporal contextual information through the use of different temporal data segments could improve prediction results. In this paper, we hav...
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#1Trung Thanh Nguyen (USYD: University of Sydney)H-Index: 15
#1Trung Thanh Nguyen (USYD: University of Sydney)H-Index: 1
Last. Martin Tomitsch (USYD: University of Sydney)H-Index: 16
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Recent studies have investigated new approaches for communicating an autonomous vehicle's (AV) intent and awareness to pedestrians. This paper adds to this body of work by presenting the design and evaluation of in-situ projections on the road. Our design combines common traffic light patterns with aesthetic visual elements. We describe the iterative design process and the prototyping methods used in each stage. The final design concept was represented as a virtual reality simulation and evaluat...
1 CitationsSource
#1Ahmed Adnan Makki (LJMU: Liverpool John Moores University)
#2Trung Thanh Nguyen (LJMU: Liverpool John Moores University)H-Index: 15
Last. Jun Ren (LJMU: Liverpool John Moores University)H-Index: 10
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The purpose of this paper is to present three novel methods of road traffic flow level of service on the basis of safety, prevention of accidents by available perception time and available stopping distance, and the risk of pedestrians sustaining severe injuries and risk of death. The risk of accidents and risk of sustaining severe injuries or death increase with the reduction of gap between the vehicle and the pedestrian casualty. Hence, the closest the pedestrian is from the vehicle the more l...
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#1Changhe Li (China University of Geosciences)H-Index: 21
#2Trung Thanh Nguyen (LJMU: Liverpool John Moores University)H-Index: 15
Last. Min Wu (China University of Geosciences)H-Index: 19
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Many artificial benchmark problems have been proposed for different kinds of continuous optimization, e.g., global optimization, multimodal optimization, multiobjective optimization, dynamic optimization, and constrained optimization. However, there is no unified framework for constructing these types of problems and possible properties of many problems are not fully tunable. This will cause difficulties for researchers to analyze strengths and weaknesses of an algorithm. To address these issues...
4 CitationsSource
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