18 papers · ranked by Valyu relevance
Hossam M. Zawbaa, E. Emary, Crina Grosan, Josh Bongard
Based on the above description of antlions, Mirjalili uses the following facts and assumptions in the artificial antlion optimization algorithm : 1. Prey (ants) move around the search space using different random walks; 2. Random walks are affected by the traps of antlions; 3. Antlions can build holes proportional to…
Ahmed Abdelaziz, Alia Nabil Mahmoud, Vitor Santos, Mario M. Freire + 1 more
'Jinran Wu'] The increasing importance of deep learning in software development has greatly improved software quality by enabling the efficient identification of defects, a persistent challenge throughout the software development lifecycle. This study seeks to determine the most effective model for detecting defects in…
Jesús Garicano-Mena, Matilde Santos, Heming Jia
In this contribution, a methodology for the optimal tuning of controllers of complex systems based on meta-heuristic techniques is proposed. Two bio-inspired meta-heuristic optimization algorithms -the Antlion Optimizer (ALO) and the Whale Optimization Algorithm (WOA)- have been applied to two different dynamic…
Madhusudhan H. S., Punit Gupta, Bhisham Sharma
Edge computing is a scalable, modern, and distributed computing architecture that brings computational workloads closer to smart gateways or Edge devices. This computing model delivers IoT (Internet of Things) computations and processes the IoT requests from the Edge of the network. In a diverse and independent…
Mohamed Abd Elaziz, Yasmine S. Moemen, Aboul Ella Hassanien, Shengwu Xiong
'Shengwu Xiong'] The global prevalence of hepatitis C Virus (HCV) is approximately 3% and one-fifth of all HCV carriers live in the Middle East, where Egypt has the highest global incidence of HCV infection. Quantitative structure-activity relationship (QSAR) models were used in many applications for predicting the…
Zhi Li, Shu-Chuan Chu, Jeng-Shyang Pan, Pei Hu + 2 more
'Geert Verdoolaege'] Metaheuristic algorithms are widely employed in modern engineering applications because they do not need to have the ability to study the objective function’s features. However, these algorithms may spend minutes to hours or even days to acquire one solution. This paper presents a novel efficient…
Mohammad Reza Sharifi, Saeid Akbarifard, Mohamad Reza Madadi, Kourosh Qaderi + 1 more
The use of evolutionary algorithms (EAs) for solving complex engineering problems has been very promising, so the application of EAs for optimal operation of hydropower reservoirs can be of great help. Accordingly, this study investigates the capability of 14 recently-introduced robust EAs in optimization of energy…
Hojjat Salehinejad, Hossein Nezamabadi‐pour, Saeı̈d Saryazdi, Fereydoun Farrahi Moghaddam
In this paper a multi-parameter A(Astar)-ants based algorithm is proposed in order to find the best optimized multi-parameter path between two desired points in regions. This algorithm recognizes paths, according to user desired parameters using electronic maps. The proposed algorithm is a combination of A and ants…
Deeam Najmadeen Hama Rashid, Tarik A. Rashid, Seyedali Mirjalili
- 1 Department of Computer Science and Engineering, School of Science and Engineering, University of Kurdistan Hewler, 44001, Erbil, KRG, Iraq - 2 Centre for Artificial Intelligence Research and Optimisation, Torrens University, Australia; ali.mirjalili@gmail.com - 3 Yonsei Frontier Lab, Yonsei University, Seoul, Korea…
Aleem Akhtar
Ant Colony Optimzation (ACO) is a metaheuristic proposed by Marco Dorigo in 1991 based on behavior of biological ants. Pheromone laying and selection of shortest route with the help of pheromone inspired development of first ACO algorithm. Since, presentation of first such algorithm, many researchers have worked and…
Arjun Chandrasekhar, Deborah M. Gordon, Saket Navlakha
We study how the arboreal turtle ant (Cephalotes goniodontus) solves a fundamental computing problem: maintaining a trail network and finding alternative paths to route around broken links in the network. Turtle ants form a routing backbone of foraging trails linking several nests together. This species travels only in…
Yehuda Afek, Roman Kecher, Moshe Sulamy
Using elementary distributed computing techniques we suggest an explanation for two unexplained phenomena in regards to ant colonies, (a) a substantial amount of ants in an ant colony are idle, and (b) the observed low survivability of new ant colonies in nature. Ant colonies employ task allocation, in which ants…
Farhad Soleimanian Gharehchopogh, Isa Maleki, Seyyed Reza Khaze
Nowadays swarm intelligence-based algorithms are being used widely to optimize the dynamic traveling salesman problem (DTSP). In this paper, we have used mixed method of Ant Colony Optimization (AOC) and gradient descent to optimize DTSP which differs with ACO algorithm in evaporation rate and innovative data. This…
Sebastian Büsse, Thies H. Büscher, Lars Heepe, Stanislav N. Gorb + 1 more
Sandy pitfall traps are an elaborate construction to capture prey and antlions are well-known representatives of this predation technique. From a soil mechanical perspective, antlions exploit the interactions between the particles of their habitat and engineer a stable trap. This construction is close to the unstable…
Vanessa Martinez, Elise Nowbahari, David Sillam-Dussès, Vincent Lorent
European pit-building antlions (Myrmeleon inconspicuus / Rambur 1842) are studied in their capacity to detect vibrations generated by the locomotion of an ant (Cataglyphis cursor) outside the pit. These locomotions have been recorded by laser velocimetry and copied in detail in their time sequences. The sequences are…
Jiajia Zhao, Nancy Lynch, Stephen C. Pratt
The decentralized cognition of animal groups is both a challenging biological problem and a potential basis for bio-inspired design. The understanding of these systems and their application can benefit from modeling and analysis of the underlying algorithms. In this study, we define a modeling framework that can be…
Jianbiao Lin, Yukun Zhong, Xiaowei Lin, Hui Lin + 1 more
—In this paper, thinking over characteristics of ant colony optimization Algorithm, taking into account the characteristics of cloud computing, combined with clonal selection algorithm (CSA) global optimum advantage of the convergence of the clonal selection algorithm (CSA) into every ACO iteration, speeding up the…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…