A new zombie ant behavior unraveled: Aggregating on tree trunks

Creative behavior is one of the most fascinating areas in intelligence. The development of specific styles is the most characteristic feature of creative behavior. All important creators, such as Picasso and Beethoven, have their own distinctive styles that even non-professional art lovers can easily recognize. Hence, in the present work, attempting to achieve cantus firmus composition and style development as well as inspired by the behavior of natural ants and the mechanism of ant colony optimization (ACO), this paper firstly proposes a meta-framework, called ants on multiple graphs (AntsOMG), mainly for roughly modeling creation activities and then presents an implementation derived from AntsOMG for composing cantus firmi, one of the essential genres in music. Although the mechanism in ACO is adopted for simulating ant behavior, AntsOMG is not designed as an optimization framework. Implementations can be built upon AntsOMG in order to automate creation behavior and realize autonomous development on different subjects in various disciplines. In particular, an implementation for composing cantus firmi is shown in this paper as a demonstration. Ants walk on multiple graphs to form certain trails that are composed of the interaction among the graph topology, the cost on edges, and the concentration of pheromone. The resultant graphs with the distribution of pheromone can be interpreted as a representation of cantus firmus style developed autonomously. Our obtained results indicate that the proposal has an intriguing effect, because significantly different styles may be autonomously developed from an identical initial configuration in separate runs, and cantus firmi of a certain style can be created in batch simply by using the corresponding outcome. The contribution of this paper is twofold. First, the presented implementation is immediately applicable to the creation of cantus firmi and possibly other music genres with slight modifications. Second, AntsOMG, as a meta-framework, may be employed for other kinds of autonomous development with appropriate implementations.

Download Full-text

AntWeb—Web Search Based on Ant Behavior

Emerging Technologies of Text Mining ◽

10.4018/978-1-59904-373-9.ch010 ◽

2008 ◽

pp. 208-222

Author(s):

Li Weigang ◽

Wu Man Qi

Keyword(s):

Web Mining ◽

Web Search ◽

Theory Model ◽

Web Pages ◽

Web Portal ◽

Knowledge Based ◽

Log Files ◽

Ant Behavior ◽

Shortest Route ◽

The Web

This chapter presents a study of Ant Colony Optimization (ACO) to Interlegis Web portal, Brazilian legislation Website. The approach of AntWeb is inspired by ant colonies foraging behavior to adaptively mark the most significant link by means of the shortest route to arrive the target pages. The system considers the users in the Web portal as artificial ants and the links among the pages of the Web pages as the researching network. To identify the group of the visitors, Web mining is applied to extract knowledge based on preprocessing Web log files. The chapter describes the theory, model, main utilities and implementation of AntWeb prototype in Interlegis Web portal. The case study shows Off-line Web mining; simulations without and with the use of AntWeb; testing by modification of the parameters. The result demonstrates the sensibility and accessibility of AntWeb and the benefits for the Interlegis Web users.

Download Full-text

Ant-Behavior Inspired Intelligent NanoNet for Targeted Drug Delivery in Cancer Therapy

IEEE Transactions on NanoBioscience ◽

10.1109/tnb.2020.2984940 ◽

2020 ◽

Vol 19 (3) ◽

pp. 323-332 ◽

Cited By ~ 3

Author(s):

Lin Lin ◽

Fupeng Huang ◽

Hao Yan ◽

Fuqiang Liu ◽

Weisi Guo

Keyword(s):

Drug Delivery ◽

Cancer Therapy ◽

Targeted Drug Delivery ◽

Ant Behavior ◽

Targeted Drug

Download Full-text

GENERATOR FUEL COST OPTIMIZATION USING ANT COLONY ALGORITHM

BEST : Journal of Applied Electrical, Science, & Technology ◽

10.36456/best.vol1.no1.1988 ◽

2019 ◽

Vol 1 (1) ◽

pp. 1-4

Author(s):

Indri Suryawati ◽

Sagita Rochman

Keyword(s):

Power Flow ◽

Power Plants ◽

Optimal Power Flow ◽

Ant Colony Algorithm ◽

Fitness Function ◽

Cost Optimization ◽

Ant Colony ◽

Fuel Cost ◽

Ant Behavior ◽

Shortest Distance

Ant Colony Algorithm (ACA) is an optimization algorithm was inspired by ant behavior when searching for the shortest distance from the food center. In this study, ACA is used for power plants with a fuel cost fitness function. ACA can search destinations faster than conventional methods such as Lagrange. In this study ACA used the optimal power flow of six power plants in the Java Bali 500 KV system, the optimization results reduced fuel costs by 23% and Lagrange 17.4% compared to real conditions.

Download Full-text

Dear Enemy Phenomenon in the Ant Ectatomma brunneum (Formicidae: Ectatomminae): Chemical Signals Mediate Intraspecific Agressive Interactions

Sociobiology ◽

10.13102/sociobiology.v66i2.3554 ◽

2019 ◽

Vol 66 (2) ◽

pp. 218

Author(s):

Márlon César Pereira ◽

Ellen Liciane Barbosa Firmino ◽

Rafaella Caroline Bernardi ◽

Luan Dias Lima ◽

Ingrid De Carvalho Guimarães ◽

...

Keyword(s):

Cuticular Hydrocarbon ◽

Hydrocarbon Composition ◽

Chemical Signals ◽

Behavioral Strategies ◽

Intraspecific Interactions ◽

Ant Colonies ◽

Dear Enemy ◽

Ant Behavior ◽

Dear Enemy Phenomenon ◽

Group Members

The integrity of ant colonies depends exclusively on social relationships between their individuals, especially the ability of communication between group members, which is mainly mediated through chemical signals. Another important feature of ant behavior is territory defense, since they need to gather large amounts of food to feed their larvae, males and breeding females. Thereby, ants might display behavioral strategies to defend their territories from intruders. Here we investigated whether Ectatomma brunneum displays the Dear Enemy Phenomenon, what is the relationship between Cuticular Hydrocarbon composition and levels of aggression during their intraspecific interactions and which compounds and/or classes of compounds might be the most important to modulate the level of aggression. To test our hypothesis, we evaluated the levels of aggression through behavioral observations during interactions between 23 pairs of colonies nested in two distinct sites at varied distances. Then, we analyzed the cuticular chemical profile of the individuals involved in the interactions, and compared these results with the levels of aggression displayed between colonies tested. The results allow us to confirm our hypothesis that the DEP occurs in E. brunneum. The higher tolerance between closer colonies can be explained due to their kinship level in addition to sharing the same microhabitats. The results also showed there are significant differences in CHCs profiles, especially between colonies nested at relatively greater distances, and it is likely that differences in content of some branched alkanes are the most important to establish these differences and, therefore, the levels of aggression during the interactions.

Download Full-text

Optimization in Determining Routes of Goods Distribution Vehicle Using the Ant Colony Optimization Algorithm Method at PT XYZ

Journal of Information Systems and Informatics ◽

10.33557/journalisi.v2i1.62 ◽

2020 ◽

Vol 2 (1) ◽

pp. 202-215

Author(s):

Ranti Dwi Djayanti ◽

Yani Iriani

Keyword(s):

Ant Colony Optimization ◽

Optimization Algorithm ◽

Distribution System ◽

Transportation Cost ◽

Transportation Costs ◽

Ant Colony ◽

Ant Colony Optimization Algorithm ◽

Total Distance ◽

Ant Behavior ◽

Total Transportation Cost

PT XYZ is one of freight forwarding companies in Indonesia, which is located in the city of Bandung. This company has managerial functions related to Collecting, Processing, Transporting, Delivery, and Reporting. However, the fact is in the process of Transporting this company still uses a zoning system which is a shipping system that still divides tertiary areas and each of these areas uses one vehicle. One problem that arises is that companies want effective and efficient performance in the distribution system of goods with the minimum total transportation costs. However, the company does not know yet whether the company's shipping routes have been effective and efficient or not. The company has tertiary network distribution route that are 2 routes with a total distance of 143.4 Km and a total transportation cost of Rp 5,681,484 /month. This research aims to determine the optimal goods distribution route using the Ant Colony Optimization Algorithm method, which is the method of finding the shortest path following ant behavior in taking food to its nest. Based on the results of the research, it is obtained a total distance of 109.2 Km because it becomes 1 route and total transportation costs Rp 3,337,992 /month, then it is obtained optimal results with a difference in distance is 34.2 Km and a total transportation cost of Rp 2,343,492 /month using one vehicle. Keywords: Optimization, Distribution, Ant Colony Optimization Algorithm

Download Full-text