Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …

Particle swarm optimization (PSO) explores global optimal solution through exploiting the
particle's memory and the swarm's memory. Its properties of low constraint on the continuity …

Text feature selection is an importance step in text classification and directly affects the
classification performance. Classic feature selection methods mainly include document …

The need for energy converters with high thermal efficiency is a central issue in the field of
renewable energies. So far, different technologies have been introduced for converting …

In order to avoid the low yield of the strip due to the transverse deviation, it is very important
to equip the central position control (CPC) in the rolling line. As the common proportional …

In this paper, we propose an improved harmony search algorithm named LHS with three key
features:(i) adaptive global pitch adjustment is designed to enhance the exploitation ability …

" This invaluable book is the first of its kind on" selforganizology", the science of self-
organization. It covers a wide range of topics, such as the theory, principle and methodology …

Particle swarm optimization (PSO) has undergone many changes since its introduction in
1995. Being a stochastic algorithm, PSO and its randomness present formidable challenge …

估计混沌系统的未知参数是混沌控制与同步中必须解决的关键问题. 利用群集智能的新进展粒子
群优化算法(PSO) 的全局搜索能力, 从初始粒子群的产生, 目标函数的处理的角度改进PSO …