Rationalization of the goods flow in a transport network with the use of ant systems

The article is devoted to the problem of the flow of goods in the transport network. Ante algorithms have been used for this purpose. An optimization model based on the problem (Quadratic Assignment Problem - QAS) was built. Eight different ant algorithms were select-ed. The results of the application of ant algorithms for solving the problem of the flow of goods rationalization are presented and dis-cussed..

Proposta teórico-metodológica para a pesquisa de objetos no jornalismo

Our main objective is to propose a theoretical-methodological discussion for the contemporary journalism academic research. We’ve used objects materiality related to ANT, Systems Theory and Peter Sloterdjk’s ideas to propose a more open minded, interdisciplinary and resilient approach for Communication and Journalism research. At the end we propose some reflection items regarding the contemporary storytelling journalistic content.

AntStar: Enhancing Optimization Problems by Integrating an Ant System andA⁎Algorithm

Recently, nature-inspired techniques have become valuable to many intelligent systems in different fields of technology and science. Among these techniques, Ant Systems (AS) have become a valuable technique for intelligent systems in different fields. AS is a computational system inspired by the foraging behavior of ants and intended to solve practical optimization problems. In this paper, we introduce the AntStar algorithm, which is swarm intelligence based. AntStar enhances the optimization and performance of an AS by integrating the AS andA⁎algorithm. Applying the AntStar algorithm to the single-source shortest-path problem has been done to ensure the efficiency of the proposed AntStar algorithm. The experimental result of the proposed algorithm illustrated the robustness and accuracy of the AntStar algorithm.

Advanced Strategy for Droplet Routing in Digital Microfluidic Biochips Using ACO

Significant researches are going on for high performance droplet routing in Digital Microfluidic Biochip (DMFB). This chapter elaborates an ant colony optimization based droplet routing technique for high performance design in DMFB. The method is divided into two phases. (1) In the first phase, two dedicated ants generated from each source of the droplets traverse the rectilinear path between the source-target pairs and deposit pheromone to construct rectangular bounding box. Initial bounding box helps in restricted ant movements in the next phase. (2) In the second phase, real routing path is generated. Detour and stalling phenomena are incurred to resolve routing conflict. The method has explored both single ant and multiple ant systems to address detours from the conflicting zone in search for the best possible route towards destination. The method has been simulated on several existing benchmarks and comparative results are quite encouraging.

Reprocessing Cell Layout Optimization Using Hybrid Ant Systems

This chapter describes the role of reprocessing cell layout design in reducing the material handling cost at the used product post-disassembly stage. The chapter begins with the discussion of material handling cost issues encountered at the reusable parts reprocessing phase. Then, related studies in the literature are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., the hybrid ant system) can be found in the proposed methodology section. Right after this, an illustrative numerical example and the corresponding comparison study are detailed in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusion drawn in the last section closes this chapter.