Emotion recognition is helpful for human to enhance self-awareness and respond
appropriately towards the happenings around them. Due to the complexity and diversity of …

Clustering is still one of the most common unsupervised learning techniques in data mining
since it allows the discovery of meaningful and interesting patterns, knowledge, rules and …

The firefly algorithm is nature-inspired, and it belongs to swarm intelligence category
optimization. Firefly algorithm is the latest algorithm developed under the nature-inspired …

Outbound container storage location assignment problem (OCSLAP) could be defined as
how a series of outbound containers should be stacked in the yard according to certain …

Due to the low clustering accuracy of the existing methods, a multi-source data association
clustering method based on symmetric encryption algorithm is proposed. The multi-source …

Given the growth of uncertainty in the real world, analysing probabilistic graphs is crucial.
Clustering is one of the most fundamental methods of mining probabilistic graphs to discover …

为解决传统性能评估方法无法准确评估群智能算法性能的问题, 提出一种基于改进雷达图法的群
智能算法综合性能评估方法. 建立适应度评价次数, 寻优时间, 寻优稳定性, 寻优精度, 覆盖度 …

In the last years peer-to-peer (P2P) networks have become an important and prevalent
architecture in the Internet and have been commonly applied into many scenarios such as …

Nature has inspired researchers in many ways, and swarm intelligence (SI) algorithms are
also results of nature's inspiration. The coordination, food search techniques, and fighting for …

In order to solve the problem that traditional performance evaluation methods cannot
accurately evaluate the performance of swarm intelligence algorithms, a comprehensive …