Ant Colony Algorithm (ACA)
Ant Colony Algorithm with Applications in the Field of Genomics
... cies without the need to pre-select a small percentage of genes. Furthermore, the ant colony algorithm was able to identify small subsets of features with high predictive abilities and bi‐ ological ...
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Optimal Unit Commitment with Ant Colony Algorithm
... improved ant colony search algorithm that is suitable for solving unit commitment (UC) ...problems. Ant colony algorithm (ACA) is a meta-heuristic technique for solving hard ...
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Application of Ant Colony Algorithm in Multi-objective Optimization Problems
... of Ant Colony Algorithm Ant colony algorithm (ACA) is the simulation algorithm put forward through simulating the behavior of ant searching for ...real ant ...
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Application Methods of Ant Colony Algorithm
... search. Ant colony is one of the mentioned methods which has been inspired by nature and functions in many fields such as vectoring peddlers, financial issues, management of affairs, designation of axes, ...
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A Randomness Ant Colony Algorithm for Solving TSP
... basic ant colony algorithm, the pheromone coefficient ρ is a constant coefficient, but this will lead to the problem that the optimization ability of the algorithm is insufficient in the ...
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A Modified Ant Colony Algorithm for Traveling Salesman Problem
... new ant colony algorithm and apply it to the typical traveling salesman ...ACO algorithm into cultural algorithm framework, where the set of ants makes up the population space, and the ...
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An Approximate Algorithm for the Steiner Tree Problem based on Ant Colony Algorithm
... novel Ant Colony Algorithm for multicast routing in wireless ad hoc networks[C] International Conference on Computer Science, Engineering and ...
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An Algorithm for Ranking Web Pages Based on Links and Ant Colony Algorithm
... and ant colony algorithm is used to rank web ...by ant algorithm and used updates pheromone part of the algorithm to update out to users' ...
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An Improved Ant Colony Algorithm in Wireless Sensor Network Routing
... network. Ant colony optimization algorithm is a kind of distributed intelligent simulation algorithm, which is inspired by the biological behavior of ant colony in ...of ...
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Optimization using Ant Colony Algorithm
... Ant Colony Optimization optimized the result generated by Apriori Algorithm by introducing probabilistic scheme. In probabilistic section, set of good rules are found from the weakest set rules based ...
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Optimization of Unit Commitment Using Ant Colony Algorithm
... programming, Ant colony. Ant Colony System (ACS) model for solving Unit Commitment Problem (UCP) has been proposed in this ...using Ant Colony System (ACS). The Ant System ...
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Traffic Signal Optimization Using Ant Colony Algorithm
... Then, the proposed ACO algorithm is tested on a traffic intersection with various vehicle arrival rates, from 400 vehicles per hour per movement to 850 vehicles per hour per movement; an[r] ...
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Food tour recommendation using modified ant colony algorithm
... modified Ant Colo- ny algorithm to find best possible itineraries through approximation and heuristic method by taking majority preferences of users into account when computing the recommended ...proposed ...
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Improving the interpretability of classification rules discovered by an ant colony algorithm.
... of ant colony classification algorithms fol- lows a sequential covering strategy in order to create classi- fication ...the algorithm creates a rule that clas- sifies part of the available training ...
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Modified ANT colony algorithm for combinational logic circuits design
... ACO algorithm can provide a computational tool for the circuit design problem. 1.1 Conventional Logic Design There are four stages in the production of integrated circuits. These are design, fabrication, testing ...
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A new hybrid ant colony algorithm for scheduling of no-wait flowshop
... vertices correspond to the activities. Each sequence of scheduling the jobs can be shown as a directed path which includes all the vertices in the graph of the problem. Therefore, finding a feasible solution lead to find ...
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Binary Ant Colony Evolutionary Algorithm
... indicates: Ant Colony Algorithm has very strong ability to find better solutions to combination optimization, and gets good performance on parallel computing, easy combination with other ...
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Hybrids of Ant Colony Optimization Algorithm- A Versatile Tool
... the algorithm achieved significant results by reducing the number of iterations and increasing the convergence speed of optimization and hence taking less time to solve large-scale ...hybrid algorithm of ...
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Inducing decision trees with an ant colony optimization algorithm
... novel ant colony algorithm, called Ant-Tree-Miner, for the induction of decision trees in the context of the classification task in data ...The Ant-Tree-Miner algorithm follows a ...
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Ant Colony Optimization Algorithm Model Based on the Continuous Space
... Terms—ant colony algorithm; pheromone; continuous space optimization ...of ant colony as inspiration, Italian scholar Marco Dorigo and Vittorio Maniezzo de- signed the first ACO ...
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