Results 51 to 60 of about 2,660,584 (180)
The Collective Power of Bacteria as a Blueprint for Emergent Intelligence
Advanced Intelligent Systems, EarlyView.Small cells, powerful collectives. Bacteria demonstrate how sophisticated behaviors can emerge from many simple individuals working together. We explore the remarkable world of bacterial communities and the mechanisms that underpin their complex emergent behaviors, enabling impressive adaptability, robustness, and responsiveness to changing ...
Johanna A. Blee +2 more
wiley +1 more source
A New Version of the Ant-Miner Algorithm Discovering Unordered Rule Sets [PDF]
, 2006 The Ant-Miner algorithm, first proposed by Parpinelli and colleagues, applies an ant colony optimization heuristic to the classification task of data mining to discover an ordered list of classification rules.
James Smaldon +3 more
core +2 more sources
Modeling the Rise of Temperature of Fitting by Combining Fuzzy System and Ant Colony Algorithm
工程科学与技术, 2016 :In order to get an accurate and reliable model of the rise of temperature of connection fitting in value hall of UHVDC,a method of fuzzy system combined ant colony algorithm was used.After analyzing the characteristics of basic ant colony algorithm and ...
王刚 +5 more
doaj
Biological Diversity, EarlyView.The first inventory of ants from the Xisha Islands of the South China Sea was compiled, revealing 21 species: 70% native and 30% exotic. Anthropogenic disturbance primarily drove exotic colonization, whereas island area showed weak positive effects on species richness. Most ants were omnivorous, with key mutualistic and seed‐dispersal roles.
Hua‐Yan Chen +4 more
wiley +1 more source
Research on cloud computing resource allocation strategy based on improved ant colony algorithm
Dianzi Jishu Yingyong, 2022 In actual projects, it is found that if the ant colony algorithm is directly applied to cloud computing resource allocation, there will often be load imbalances, resulting in low resource utilization. And at the same time, the task completion time is too
Liu Dengming +3 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley +1 more source
Learning Multi-Tree Classification Models with Ant Colony Optimization [PDF]
, 2014 Ant Colony Optimization (ACO) is a meta-heuristic for solving combinatorial optimization problems, inspired by the behaviour of biological ant colonies. One of the successful applications of ACO is learning classification models (classifiers).
Otero, Fernando E.B. +3 more
core +1 more source
Energy Science &Engineering, EarlyView.Due to the depletion of fossil fuels, enhancing wind turbine efficiency is crucial. Utilizing airfoils with high lift‐to‐drag ratios significantly improves power generation by optimizing aerodynamic parameters. Furthermore, entropy generation analysis serves as an effective method for design optimization by minimizing energy losses and exergy ...
Mitra Yadegari
wiley +1 more source
Research of the Path Planning of Mobile Robot based on Improved Ant Colony Algorithm
Jixie chuandong, 2016 The traditional ant colony algorithm in the process of mobile robot path planning,the algorithm is easy to fall into the local optimization problem when the convergence of the algorithm.
Yu Yong
doaj
Safflower Picking Trajectory Planning Strategy Based on an Ant Colony Genetic Fusion Algorithm
AgricultureIn order to solve the problem of the low pickup efficiency of the robotic arm when harvesting safflower filaments, we established a pickup trajectory cycle and an improved velocity profile model for the harvest of safflower filaments according to the ...
Hui Guo +5 more
doaj +1 more source