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Ant colony optimization
V Maniezzo, LM Gambardella, F De Luigi - New optimization techniques …, 2004 - Springer
Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for
combinatorial optimization problems. The first algorithm which can be classified within this …
combinatorial optimization problems. The first algorithm which can be classified within this …
An improved genetic algorithm with a new initialization mechanism based on regression techniques
AB Hassanat, VBS Prasath, MA Abbadi, SA Abu-Qdari… - Information, 2018 - mdpi.com
Genetic algorithm (GA) is one of the well-known techniques from the area of evolutionary
computation that plays a significant role in obtaining meaningful solutions to complex …
computation that plays a significant role in obtaining meaningful solutions to complex …
Performance analyses over population seeding techniques of the permutation-coded genetic algorithm: An empirical study based on traveling salesman problems
The genetic algorithm (GA) is a population based meta-heuristic global optimization
technique for dealing with complex problems with very large search space. The population …
technique for dealing with complex problems with very large search space. The population …
[PDF][PDF] Solving traveling salesman problem by using improved ant colony optimization algorithm
Z Hlaing, MA Khine - International Journal of Information and …, 2011 - academia.edu
Ant colony optimization (ACO) is a heuristic algorithm which has been proven a successful
technique and applied to a number of combinatorial optimization problems and is taken as …
technique and applied to a number of combinatorial optimization problems and is taken as …
Combining new fast opposite gradient search with ant colony optimization for solving travelling salesman problem
T Saenphon, S Phimoltares, C Lursinsap - Engineering Applications of …, 2014 - Elsevier
Most of the discrete optimization techniques based on evolutionary computing did not
deploy and involve the actual geometrical structure of objective function in the process of …
deploy and involve the actual geometrical structure of objective function in the process of …
[PDF][PDF] An ant colony optimization algorithm for solving traveling salesman problem
ZCSS Hlaing, MA Khine - 2011 - meral.edu.mm
Abstract Ant Colony Optimization (ACO) is a class of heuristic search algorithms that have
been successfully applied to solving combinational optimization (CO) problems. The …
been successfully applied to solving combinational optimization (CO) problems. The …
[PDF][PDF] 基于变异和动态信息素更新的蚁群优化算法
朱庆保, 杨志军 - 软件学报, 2004 - Citeseer
尽管蚁群优化算法在优化计算中已得到了很多应用, 但在进行大规模优化时,
其收敛时间过长仍是应用该算法的一个瓶颈. 为此, 提出了一种高速收敛算法 …
其收敛时间过长仍是应用该算法的一个瓶颈. 为此, 提出了一种高速收敛算法 …
[كتاب][B] Intelligent control systems with an introduction to system of systems engineering
T Nanayakkara, F Sahin, M Jamshidi - 2018 - taylorfrancis.com
From aeronautics and manufacturing to healthcare and disaster management, systems
engineering (SE) now focuses on designing applications that ensure performance …
engineering (SE) now focuses on designing applications that ensure performance …
An improved ant colony optimization algorithm: Minion Ant (MAnt) and its application on TSP
A Shetty, A Shetty, KS Puthusseri… - … Symposium Series on …, 2018 - ieeexplore.ieee.org
Ant colony optimization is a simulated evolutionary algorithm which imitates the ants
foraging to determine the shortest path between the anthill and a food source. This is a …
foraging to determine the shortest path between the anthill and a food source. This is a …
Improved ant colony algorithm and its applications in TSP
X Song, B Li, H Yang - Sixth International Conference on …, 2006 - ieeexplore.ieee.org
In the fields of ant colony optimization (ACO), models of collective intelligence of ants are
transformed into useful optimization techniques. A kind of improved ACO (named PMACO) …
transformed into useful optimization techniques. A kind of improved ACO (named PMACO) …