Computer Science
Recent Submissions
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Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons
(Institute of Electrical and Electronics Engineers (IEEE), 2019)Visualisation is an effective way to facilitate the analysis and understanding of multivariate data. In the context of multi-objective optimisation, comparing to quantitative performance metrics, visualisation is, in ... -
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution
(Institute of Electrical and Electronics Engineers (IEEE), 2019)It is not uncommon that meta-heuristic algorithms contain some intrinsic parameters, the optimal configuration of which is crucial for achieving their peak performance. However, evaluating the effectiveness of a configuration ... -
Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization
(Institute of Electrical and Electronics Engineers (IEEE), 8 November 2016)Nondominated sorting (NDS), which divides a population into several nondomination levels (NDLs), is a basic step in many evolutionary multiobjective optimization (EMO) algorithms. It has been widely studied in a generational ... -
Two-archive evolutionary algorithm for constrained multi objective optimization
(Institute of Electrical and Electronics Engineers (IEEE), 18 July 2018)When solving constrained multi-objective optimization problems, an important issue is how to balance convergence, diversity and feasibility simultaneously. To address this issue, this paper proposes a parameter-free ... -
Integration of preferences in decomposition multiobjective optimization
(Institute of Electrical and Electronics Engineers, 20 August 2018)© 2018 IEEE. Rather than a whole Pareto-optimal front, which demands too many points (especially in a high-dimensional space), the decision maker (DM) may only be interested in a partial region, called the region of interest ...