Results 101 to 110 of about 100,368 (278)
Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
The subject matter of the article is experimental studies of the image segmentation method quality from UAVs based on the Ant Colony Optimization algorithm under the influence of additive Gaussian noise.
Hennadii Khudov +4 more
doaj +1 more source
D-Bees: A Novel Method Inspired by Bee Colony Optimization for Solving Word Sense Disambiguation [PDF]
Word sense disambiguation (WSD) is a problem in the field of computational linguistics given as finding the intended sense of a word (or a set of words) when it is activated within a certain context.
Abualhaija, Sallam +1 more
core
An ACO Algorithm for Effective Cluster Head Selection
This paper presents an effective algorithm for selecting cluster heads in mobile ad hoc networks using ant colony optimization. A cluster in an ad hoc network consists of a cluster head and cluster members which are at one hop away from the cluster head.
Agarwal +9 more
core +2 more sources
Abstract In a multi‐row facility layout problem (MRFLP), facilities are arranged in more than one row under the limited layout area. Considering different layout factors, various extensions of MRFLP have been modelled. However, the orientation of input/output (I/O) point in a facility, as a key factor that plays a direct impact on flow cost, is seldom ...
Yinan Guo +5 more
wiley +1 more source
Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems
ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong +4 more
wiley +1 more source
Learning Multi-Tree Classification Models with Ant Colony Optimization [PDF]
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., Salama, Khalid M.
core +1 more source
Optimization method for mine rescue path based on ant colony algorithm
In view of optimization problem of emergency rescue path in underground fire condition, an optimization method for mine rescue path based on ant colony algorithm was proposed.
GONG Xingyu +3 more
doaj +1 more source
Clustering stock exchange data by using evolutionary algorithms for portfolio management [PDF]
In present paper, imperialist competitive algorithm and ant colony algorithm and particle swarm optimization algorithm have been used to cluster stocks of Tehran stock exchange.
Nejad, Malek Khojasteh
core
Traffic signal optimization using Ant Colony Algorithm
Traffic signal control is an effective way to improve the efficiency of traffic networks and reduce users' delays. Ant Colony Optimization (ACO) is a meta-heuristic algorithm based on the behavior of ant colonies searching for food. ACO has successfully been employed to solve many complicated combinatorial optimization problems and its stochastic and ...
Renfrew, David, Yu, Xiao-Hua
openaire +3 more sources

