Optimization

During the past two decades, a variety of multiobjective evolutionary algorithms (MOEAs) have been proposed in the literature. As …

Recently, by taking advantage of evolutionary multiobjective optimization techniques in diversity preservation, the means of …

The effectiveness of evolutionary algorithms have been verified on multi-objective optimization, and a large number of multi-objective …

Many real-world optimization problems have more than three objectives, which has triggered increasing research interest in developing …

Graph-based dimensionality reduction has attracted a lot of attention in recent years. Such methods aim to exploit the graph …

Multimodal optimization has attracted increasing interest recently. Despite the emergence of various multimodal optimization algorithms …

Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization …

Surrogate models have shown to be effective in assisting metaheuristic algorithms for solving computationally expensive complex …

Non-dominated sorting has been widely adopted in evolutionary multi-objective optimization. Many approaches to non-dominated sorting …

While most part of the complex network models are described in function of some growth mechanism, the optimization of a goal or certain …