Now showing items 1-5 of 5
A multi-objective evolutionary algorithm based on coordinate transformation
(IEEE Press, 2018-05-28)
In this paper, a novel multiobjective evolutionary algorithm (MOEA/CT) is proposed to better manage convergence and distribution of solutions when MOEAs are used for solving multiobjective optimization problems. The ...
A clique-based online algorithm for constructing optical orthogonal codes
An optical orthogonal code (OOC) is a family of binary sequences with good auto- and cross-correlation properties. In the literature, various mathematical tools have been used to construct OOCs with specific parameters. ...
Scalarizing functions in decomposition-based multiobjective evolutionary algorithms
(IEEE Press, 2017)
Decomposition-based multiobjective evolutionary algorithms have received increasing research interests due to their high performance for solving multiobjective optimization problems. However, scalarizing functions, which ...
Evolution strategies with q-Gaussian mutation for dynamic optimization problems.
Evolution strategies with q-Gaussian mutation, which allows the self-adaptation of the mutation distribution shape, is proposed for dynamic optimization problems in this paper. In the proposed method, a real parameter q, ...
Robustness and evolutionary dynamic optimisation of airport security schedules
Reducing security lane operations whilst minimising passenger waiting times in unforseen circumstances is important for airports. Evolutionary methods can design optimised schedules but these tend to over-fit passenger ...