Sociology

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

As a pivotal component in multi-objective evolutionary algorithms (MOEAs), the environmental selection determines the quality of …

In evolutionary multiobjective optimization, maintaining a good balance between convergence and diversity is particularly crucial to …

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

To approximate the Pareto front, most existing multiobjective evolutionary algorithms store the nondominated solutions found so far in …

Evolutionary algorithms have been shown to be powerful for solving multiobjective optimization problems, in which nondominated sorting …

Multiobjective evolutionary algorithms (MOEAs) usually achieve a set of nondominated solutions as the approximation of the Pareto …

Social learning plays an important role in behavior learning among social animals. Different from individual (asocial) learning, social …

Most evolutionary algorithms, including particle swarm optimization (PSO) algorithms, involve at least one population (swarm) to …

Competitive particle swarm optimizer (ComPSO) is a novel swarm intelligence algorithm that does not need any memory. Different from the …