Ant Systems-Based DNA Circuits

2015 ◽  
Vol 5 (4) ◽  
pp. 206-216 ◽  
Author(s):  
Rizki Mardian ◽  
Kosuke Sekiyama
Keyword(s):  
Ant Systems

Bug triaging based on ant systems

2015 ◽  
Vol 7 (4) ◽  
pp. 263
Author(s):  
V. Akila ◽  
G. Zayaraz ◽  
V. Govindasamy
Keyword(s):  
Bug Triaging ◽  
Ant Systems

Competition for mutualists: aphids and ants

1978 ◽  
Vol 56 (10) ◽  
pp. 2093-2096 ◽  
Author(s):  
John F. Addicott
Keyword(s):  
Ant Systems ◽  
Pollination Systems

Evidence is presented which supports the hypothesis that competition occurs among species of aphids for the services of ants. It is suggested that, in addition to the more familiar pollination systems, aphid–ant systems should be used for the study of competition for mutualists because aphid–ant systems have both a significant advantage and important differences with respect to pollination systems.

Ant Systems for a Dynamic TSP

2002 ◽  
pp. 88-99 ◽  
Author(s):  
Casper Joost Eyckelhof ◽  
Marko Snoek
Keyword(s):  
Ant Systems

Improved Energy-Efficient Ant-Based Routing Algorithm in Wireless Sensor Networks

2012 ◽  
pp. 420-444 ◽  
Author(s):  
Adamu Murtala Zungeru ◽  
Li-Minn Ang ◽  
SRS. Prabaharan ◽  
Kah Phooi Seng
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Energy Resource ◽  
Wireless Sensor ◽  
Ant Systems ◽  
High Efficient ◽  
Research Problems ◽  
Future Work

High efficient routing is an important issue in the design of limited energy resource wireless sensor networks (WSNs). This chapter presents an Improved Energy-Efficient Ant-Based Routing Algorithm (IEEABR) in wireless sensor networks. Compared to traditional Basic Ant-Based Routing (BABR), Improved Ant-Based Routing (IABR), and Energy-Efficient Ant-Based Routing (EEABR) approaches, the proposed IEEABR approach has advantages of reduced energy usage and achieves a dynamic and adaptive routing that can effectively balance the WSN node power consumption and increase the network lifetime. This chapter covers applications and routing in WSNs, different methods for routing using ant colony optimization (ACO), a summary of routing algorithms based on ant systems, and the Improved Energy-Efficient Ant-Based Routing Algorithm approach. Simulations results were analyzed while also looking at open research problems and future work to be done. The chapter concludes with a comparative summary of results with IABR and EEABR.

Advanced Strategy for Droplet Routing in Digital Microfluidic Biochips Using ACO

2015 ◽  
pp. 252-284 ◽  
Author(s):  
Indrajit Pan ◽  
Tuhina Samanta
Keyword(s):  
Ant Colony Optimization ◽  
High Performance ◽  
Ant Colony ◽  
Second Phase ◽  
Phase 2 ◽  
Bounding Box ◽  
Ant Systems ◽  
Two Phases ◽  
Comparative Results ◽  
Digital Microfluidic

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.

Ant Systems to solve operational problems

2002 ◽  
pp. 65-82 ◽  
Author(s):  
Herbert Dawid ◽  
Karl Doerner ◽  
Richard F. Hartl ◽  
Marc Reimann ◽  
Georg Dorffner ◽  
...  
Keyword(s):  
Ant Systems
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