In DNA based computation, the design of good DNA sequences has turned out to be a fundamental problem and one of the most practical and important research topics. Although the design of DNA sequences is dependent on the protocol of biological experiments, it is highly required to establish a method for the systematic design of DNA sequences, which could be applied to various design constraints....

Many animals use chemical substances known as pheromones to induce behavioural changes in other members of the same species. The use of pheromones by ants in particular has lead to the development of a number of computational analogues of ant colony behaviour including Ant Colony Optimisation. Although many animals use a range of pheromones in their communication, ant algorithms have typically ...

Dijkstra’s and Prim’s algorithms are well established methods for implementing multicast routing. We have emphasized a different approach ’Ant Colony System (ACS)’ for multicast routing. This paper introduces a comparative study of implementing simple Ant Colony System, Dijkstra’s Algorithm and Prim’s Algorithm in a multicast routing communication scenario. For the sake of simplicity we have on...

This paper describes the ant-based vehicle navigation algorithm (known from literature) and then proposes its modification. Because the performance of these two versions of the algorithm is unsatisfactory, the new, really revised algorithm is introduced. Experiments performed on real-world data show, that this new algorithm is much more efficient and gives better results than its predecessors. ...

This paper presents an ant colony optimization methodology for optimally clustering N objects into K clusters. The algorithm employs distributed agents which. AbstractAnt-based clustering is a biologically inspired data. Multi-ant colonies approach for clustering data that consists of some parallel.based on ant colony to solve the unsupervised clustering. Index TermsAnt colony optimization, Clu...

This paper conducts experimental tests to study the stagnation behavior the Interacted Multiple Ant Colonies Optimization (IMACO) framework. The idea of different ant colonies use different types of problem dependent heuristics has been proposed as well. The performance of IMACO was demonstrated by comparing it with the Ant Colony System (ACS) the best performing ant algorithm. The computationa...

Investment decision making is one of the key issues in financial management. Selecting the appropriate tools and techniques that can make optimal portfolio is one of the main objectives of the investment world. This study tries to optimize the decision making in stock selection or the optimization of the portfolio by means of the artificial colony of honey bee algorithm. To determine the effect...

In this paper we describe the design of a fuzzy logic controller for the ball and beam system using a modified Ant Colony Optimization (ACO) method for optimizing the type of membership functions, the parameters of the membership functions and the fuzzy rules. This is achieved by applying a systematic and hierarchical optimization approach modifying the conventional ACO algorithm using an ant s...