The diversity and applicability of swarm intelligence is increasing everyday in the fields of science and engineering. Swarm intelligence gives the features of the dynamic features optimization concept. We have used swarm intelligence for the process of feature optimization and feature selection for content-based image retrieval. The performance of content-based image retrieval faced the proble...

Detection of early-stage liver diseases is a challenge in medical field. Automated diagnostics based on machine learning therefore could be very important for liver tests of patients. This paper investigates 225 liver function test records (each record include 14 features), which is a subset from 1000 patients’ liver function test records that include the records of 25 patients with liver disea...

The energy and resources saving has become a major task of petrochemical enterprises, it is necessary to construct the diagnostic system for understanding real-time operation information plant provide theoretical basis taking measures. diagnosis process based on twin Curvelet support vector machine optimized by hybrid glowworm swarm algorithm designed. kernel function constructed transform esta...

Aiming at the tracing problem of ambient air quality exceeding standard caused by unorganized emission multiple pollution sources in chemical industry park, an method based on OK-IGSO integrated algorithm is proposed. First all, ordinary Kriging (OK) geostatistics applied to prediction and interpolation atmospheric pollutants so that distribution closer reality; Then, improved glowworm (IGSO), ...

This paper presents multimodal function optimization, using a nature-inspired glowworm swarm optimization (GSO) algorithm, with applications to collective robotics. GSO is similar to ACO and PSO but with important differences. A key feature of the algorithm is the use of an adaptive local-decision domain, which is used effectively to detect the multiple optimum locations of the multimodal funct...

The demand for high-speed automatic train operation (ATO) system brings new opportunities and challenges the railway field. requirements of energy consumption, punctuality, safety smoothness are also increasing, especially research on saving trains ushers in a broader development space. This paper proposes quantitative functions four energy-saving performance indexes multi-objective optimizatio...

Highly multimodal function optimization is similar to many other optimization problems requiring many iterations and large number of function evaluations. Glowworm Swarm Optimization (GSO) is one of the common swarm intelligence algorithms, where GSO has the ability to optimize multimodal functions efficiently. Locating the peaks of a high-dimensional multimodal function requires a large popula...