Text in video is a very compact and accurate clue for video indexing and summarization. The paper presents a new method for text location in news video with ant colony algorithm. Three features of characters are extracted as a basis for the formation of heuristic function. In order to balance the weight of the three features, three functions are introduced to transform them. The ants will be ra...

In wireless sensor networks, sensor nodes are extremely power constrained, so energy efficient clustering mechanism is mainly considered in the network topology management. A new clustering mechanism based on the polymorphic ant colony (PAC) is designed for dynamically controlling the networks clustering structure. According to different functions, the nodes of the networks are respectively def...

A new generic negotiation approach to coordinate decentralized planning of a group of independent and self-interested decision makers or agents, who are searching for an agreeable contract regarding multiple interdependent issues, in the case of asymmetric information is presented. The basic idea of the mechanism is that the group members carry out a joint search based on a mediated pheromone m...

One of the significant research problems in multivariate analysis is the selection of a subset of input variables that can predict the desired output with an acceptable level of accuracy. This goal is attained through the elimination of the variables that produce noise or, are strictly correlated with other already selected variables. Feature subset selection (selection of the input variables) ...

Generic cabling is a key component for multiplex cable wiring. It is one of the basic foundations of intelligent buildings. Using operation flow in generic cabling, the index constraints affecting generic cabling have been evolved in this paper. A mathematical model is built based on the ant colony algorithm with multiple constraints, and improvements were made on the original basis to extend t...

Traveling Salesman Problem (TSP) is focused to construct the path with the lowest distance between different places (nodes), visiting every one once. This paper proposed an algorithm to solve TSP adding three aspects: time, cost and effort, where the effort is calculated multiplying time, distance and cost factors and dividing by the sum of them; the aim of this estimation is optimizing the bes...

Ant Colony Optimization is an evolutionary method that has recently been applied to scheduling problems. We propose an ACO algorithm for the Single Machine Total Weighted Tardiness Problem. Compared to an existing ACO algorithm for the unweighted Total Tar-diness Problem our algorithm has several improvements. The main novelty is that in our algorithm the ants are guided on their way to good so...

This paper proposes an ACO (ant colony optimization)-based multicast path algorithm (AMPA) to reduce the multicast communication traffic in hypercube networks. According to the high regularity of hypercube networks, an optimized distributed algorithm (Opt-AMPA) for AMPA is proposed by clustering strategy, whose time cost can fill the requirements of the actual networks. The simulation results i...

This paper proposes an improved ant colony optimization cluster algorithm based on a classics algorithm LF algorithm. By the introduction of a new formula and the probability of similarity metric conversion function, as well as the new formula of distance, this algorithm can deal with the category data easily. It also introduces a new adjustment process, which adjusts the cluster generated by t...

Data mining play an important role in the process of data filtering and categorization. In this paper we have used data mining as a process filter technique by calculating the support value considering two datasets name Ljubljana and Wisconsin. Then we apply optimization technique in our case we use Ant Colony Optimization (ACO) technique to find the highest threshold with several possible iter...