Communities of autonomous units are rule-based and graphtransformational systems with a well-defined formal semantics. The autonomous units of a community act and interact in a common environment while striving for their goals. Ant colony systems consist of a set of autonomously behaving ants and are often employed as a metaheuristics for NP-hard logistic problems. In this paper, we demonstrate...

Traditional method of test paper generation is time-consuming, low efficient and low success. In order to improve the success rate of test paper, the paper puts forward an ant colony algorithm of automatic sets method. First, a mathematical model of constraint is built according to the requires of papers, and by using the ant colony algorithm, the optimal solution of grouping is obtained. Simul...

This paper presents improved Ant Colony Optimization (ACO) algorithms for data mining. The goal of the algorithms is to extract classification rules from data. The traditional Ant Colony Optimization algorithm is enhanced with genetic operators to develop improved ACO algorithms. The genetic operators like crossover, mutation are used to develop Ant Colony Optimization with Crossover (ACOC), AC...

We explore the relation between memcomputing, namely computing with and in memory, and swarm intelligence algorithms. In particular, we show that one can design memristive networks to solve short-path optimization problems that can also be solved by ant-colony algorithms. By employing appropriate memristive elements one can demonstrate an almost one-toone correspondence between memcomputing and...

Evolutionary Computation niching methods, such as Fitness Sharing and Crowding, are aimed at simultaneously locating and maintaining multiple optima to increase search robustness, typically in multi-modal function optimization. Such methods have been shown to be useful for both single and multiple objective optimisation problems. Niching methods have been adapted in recent years for other optim...

Due to the inventions in technology, Wireless sensor networks have been growing rapidly. Sensor nodes are capable of performing some processing, gathering required information and communicating with other connected nodes in the network. Sensor nodes are of limited energy which is a drawback during peak times in a network. Always energy is of primary concern in a wireless sensor networks. There ...

According to the principle of the weak economy, mathematical model of emergency logistics routing optimization has been established in this paper, and the model is solved by the uniform mutation ant colony algorithm, simulation shows that the optimal results of uniform mutation ant colony algorithm are better than ant colony algorithm. At the same time, compared with the mathematical model of t...

This work proposes a new rule pruning procedure for Ant-Miner, an Ant Colony algorithm that discovers classification rules in the context of data mining. The performance of Ant-Miner with the new pruning procedure is evaluated and compared with the performance of the original Ant-Miner across several datasets. The results show that the new pruning procedure has a mixed effect on the performance...

Ant System, the first Ant Colony Optimization algorithm, showed to be a viable method for attacking hard combinatorial optimization problems. Yet, its performance, when compared to more fine-tuned algorithms, was rather poor for large instances of traditional benchmark problems like the Traveling Salesman Problem. To show that Ant Colony Optimization algorithms could be good alternatives to exi...

Web mining has been very crucial to any organization as it provides useful insights to business patterns. It helps the company to understand its customers better. As the web is growing in pace, so is its importance and hence it becomes all the more necessary to find useful patterns. Here in this paper, web mining using ant colony optimization has been reviewed with some of its experimental resu...