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Covariance matrix adaptation evolution strategies (CMA-ES) is a powerful optimizer. In this paper, we propose an efficient rank-1 update for the Cholesky covariance matrix adaptation evolution strategy (Cholesky CMA-ES) using an auxiliary evolution path. It accumulates the average mutation vector corresponding to the current search direction, which is used to update the evolution path. It is used...
As the advanced development of directional antenna, wireless technique has been introduced into data center networks, denoted as hybrid data center networks (HDCN). HDCN shows its great potential to mitigate the over-subscription problem in higher level links in traditional data centers.However, how to implement network virtualization in HDCN such that all the wireless links can be sufficiently utilized...
Incorporating decision maker's preference with multi objective optimization problems keeps an active research area. In this paper, we suggest an algorithm to integrate decision maker's preference into multiobjective evolutionary optimization algorithm based on decomposition technique (MOEA/D). Decomposition techniques require a set of evenly distributed weight vectors to generate a diverse set of...
Evolutionary Multi-objective Optimization (EMO) approaches have been amply applied to find a representative set of Pareto-optimal solutions in the past decades. Although there are advantages of getting the range of each objective and the shape of the entire Pareto front for an adequate decision-making, the task of choosing a preferred set of Pareto-optimal solutions is also important. In this paper,...
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