Results 181 to 190 of about 40,576 (238)

Multi-objective optimisation of path and space utilisation in landscape garden green space design. [PDF]

PLoS One
Yu J, Song J, Lan H, Zhang Y.
europepmc   +1 more source

A carbon aware ant colony system for the sustainable generalized traveling salesman problem. [PDF]

Sci Rep
Lin M, Schaposnik LP.
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Multi-Objective Feature Selection for Intrusion Detection Systems: A Comparative Analysis of Bio-Inspired Optimization Algorithms. [PDF]

Sensors (Basel)
Sezgin A, Ulaş M, Boyacı A.
europepmc   +1 more source

A comparative study of drones path planning and bezier curve optimization based on multi-strategy search algorithm. [PDF]

PLoS One
Xu G.
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Energy and makespan optimised task mapping in fog enabled IoT application: a hybrid approach. [PDF]

Sci Rep
Tripathy N, Sahoo S, Alghamdi NS, Viriyasitavat W, Dhiman G.   +4 more
europepmc   +1 more source

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Parallel Ant Colony Optimization Algorithm

2006 6th World Congress on Intelligent Control and Automation, 2006
Ant colony optimization algorithm is a good way to solve complex multi-stage decision problems. But the construction graph and computation steps for an ant to construct a solution in the construction graph will be exponentially increased, if the stage number and decision variable dimension of complex multi-stage decision problem are increasing. It will
null Hong Liu, null Ping Li, null Yu Wen
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Adaptive ant colony optimization algorithm

2014 International Conference on Mechatronics and Control (ICMC), 2014
An adaptive ant colony algorithm is proposed to overcome the premature convergence problem in the conventional ant colony algorithm. The adaptive ant colony is composed of three groups of ants: ordinary ants, abnormal ants and random ants. Each ordinary ant searches the path with the high concentration pheromone at the high probability, each abnormal ...
Gu Ping, Xiu Chunbo, Cheng Yi, Luo Jing, Li Yanqing   +4 more
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Fuzzy-based ant colony optimization algorithm

2010 2nd International Conference on Computer Technology and Development, 2010
Real world problems don't always come with sufficient, complete, and precise data; classical algorithms are facing some limitations like inefficiency of handling imprecise data or uncertain information. Therefore there is a need for finding powerful techniques to handle such situations.
Assem A. Alsawy, Hesham A. Hefny
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Network optimization using ant colony algorithm

2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 2016
Computer network plays vital role in our day to day life's critical issues such as hospitals, fire brigade, military. The errors or failures in such computer network create significant loss. These failures or errors should be taken into account while designing a computer network.
Mamta Munge, Handore Shubhangi
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