Optimization problems are ubiquitous in scientific research, engineering, and daily lives.
However, solving a complex optimization problem often requires excessive computing …

Recently Chen and Aihara have demonstrated both experimentally and mathematically that
their chaotic simulated annealing (CSA) has better search ability for solving combinatorial …

Chaotic dynamics and its possible applications are considered from the viewpoint of
engineering. Various applications, even to consumer products such as household …

In this paper, we propose a new optimization technique by modifying a chaos optimization
algorithm (COA) based on the fractal theory. We first implement the weighted gradient …

In this article, some methods are proposed for enhancing the converging velocity of the COA
(chaos optimization algorithm) based on using carrier wave two times, which can greatly …

As an attempt to provide an organized way to study the chaotic structures and their effects in
solving combinatorial optimization with chaotic neural networks (CNN), a unifying framework …

The aim of this paper is to study both the theoretical and experimental properties of chaotic
neural network (CNN) models for solving combinatorial optimization problems. Previously …

The Imperialist Competitive Algorithm (ICA) that was recently introduced has shown its good
performance in optimization problems. This novel optimization algorithm is inspired by socio …

本文将多目标混沌优化算法, 应用于水资源优化配置中, 该方法将多目标属性与混沌遍历性耦合
起来, 将混沌序列放大到优化变量的取值范围进行迭代寻优, 避免了搜索过程陷入局部极小点 …

This paper studies global bifurcation structure of the chaotic neural networks applied to
solve the traveling salesman problem (TSP). The bifurcation analysis clarifies the dynamical …