Results 41 to 50 of about 4,109,390 (219)
Routing Algorithm for Micro-Nano-Satellite Based on Q-Learning Quantum Ant Colony [PDF]
In micro-nano-satellite networks, the traditional ant colony routing algorithm cannot guarantee data transmission security and the quality of service of network businesses simultaneously.Moreover, it is easy to fall into local optimal solution, and the ...
ZHANG Ran, GAO Yingxue, ZHAO Yu, DING Yuanming
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Comparison of Adaptive Ant Colony Optimization for Image Edge Detection of Leaves Bone Structure
Leaf bone structure has a characteristic that can be used as a reference in digital image processing. One form of digital image processing is image edge detection. Edge detection is the process of extracting edge information from an image.
Febri Liantoni +2 more
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Ant Colony Optimization Algorithm
ACO is a potent algorithm inspired by ants' social behavior. It can solve complex computational problems and offers a promising approach to finding near-optimal solutions in various domains. This essay focuses on ACO's potential to solve the Travelling Salesman Problem (TSP) by mimicking ants' pheromone-based path finding.
Olive Cheong Yu Xuan +5 more
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A Method for Degenerate Primer Design Based on Artificial Bee Colony Algorithm
Aiming to address the complex degenerate primer design problem in the biological field, in this paper, we design a degenerate primer optimization model considering primer coverage and degeneracy that allows a small number of base mismatches, and propose ...
Ruhui Liu +4 more
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One direction of ant colony optimization researches is dividing the ants’ population into several colonies. These colonies work together to collectively solve an optimization problem. This approach offers good opportunity to explore a large area of the search space. It seems to be a suitable approach to improve the performance of ant algorithms.
Alaa Aljanaby +2 more
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Research on vehicle routing problem based on improved ant colony algorithm[JP]
In order to solve the problems of slow convergence and easiness to fall into local optimal solution in solving vehicle routing problem,an improved ant colony algorithm was proposed.Firstly,the saving matrix updating selection probability formula was ...
Ziyu LIU +4 more
doaj
Planning tasks are important in construction, manufacturing, logistics, and education. At the same time, scheduling problems belong to the class of NP-hard optimization problems.
Pavel V. Matrenin
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Artificial Intelligence Meets Micro/Nanorobotics
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
A memetic ant colony optimization algorithm for the dynamic travelling salesman problem [PDF]
Copyright @ Springer-Verlag 2010.Ant colony optimization (ACO) has been successfully applied for combinatorial optimization problems, e.g., the travelling salesman problem (TSP), under stationary environments.
Yang, S +5 more
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