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Claudia Cavallaro, Carolina Crespi, Vincenzo Cutello, Mario Pavone and Francesco Zito
This paper introduces an agent-based model grounded in the ACO algorithm to investigate the impact of partitioning ant colonies on algorithmic performance. The exploration focuses on understanding the roles of group size and number within a multi-objecti...
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Jaciele O. Dantas, Sócrates C. H. Cavalcanti, Ana Paula A. Araújo, Jefferson E. Silva, Thaysnara B. Brito, Valfran S. Andrade, Heloisa S. S. Pinheiro, Swamy R. S. A. Tavares, Arie F. Blank and Leandro Bacci
Leaf-cutting ants are important pests of agricultural and forest crops. Currently, few insecticides are registered for the control of these insects. Natural bioactive molecules can serve as models for the synthesis of new insecticidal compounds. Such ant...
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Zheping Yan, Weidong Liu, Wen Xing and Enrique Herrera-Viedma
How an autonomous underwater vehicle (AUV) performs fully automated task allocation and achieves satisfactory mission planning effects during the search for potential threats deployed in an underwater space is the focus of the paper. First, the task assi...
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Guanghong Yang, Wei Zhou, Wenjun Qu, Wu Yao, Peng Zhu and Jing Xu
This paper discusses the latest progress in research on ant nests and explores innovative scientific concepts associated with underground ant nests from the perspective of bionics. The methods used by scholars to study the structure of ant nests and the ...
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Sara Pérez-Carabaza, Akemi Gálvez and Andrés Iglesias
Ant Colony Optimization (ACO) encompasses a family of metaheuristics inspired by the foraging behaviour of ants. Since the introduction of the first ACO algorithm, called Ant System (AS), several ACO variants have been proposed in the literature. Owing t...
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Mattia Neroni
The Ant Colony Optimization (ACO) is a probabilistic technique inspired by the behavior of ants for solving computational problems that may be reduced to finding the best path through a graph. Some species of ants deposit pheromone on the ground to mark ...
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Siti Noor Asyikin Mohd Razali,Nabeel Naeem Hasan Almaalei
The ant colony optimization algorithm is based on the behaviour of real ants. This algorithm was introduced in the 1990s with the aim of finding solutions to problems which simulates the decision-making processes through the use of ants artificial. This ...
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Prafull Kasture and Hidekazu Nishimura
In this paper, an agent-based model of ant traffic on a unidirectional single-lane ant trail is presented to provide better understanding of the jam-free traffic of an ant colony. On a trail, the average velocity of ants remains approximately constant ir...
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Saleh Bouarafa, Rachid Saadane and Moulay Driss Rahmani
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Ilaria Baffo, Pasquale Carotenuto, Stefania Rondine
Pág. 297 - 304
The emergencies management in industrial plants is an issue widely discussed in the literature and in the European legislative framework. Despite the large interest shown by the different actors involved in emergencies management, neither scientific nor ...
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