MACS-VRPTW: a multiple ant colony system for vehicle routing problems with time windows
New ideas in optimization
Edge detection using ant algorithms
Soft Computing - A Fusion of Foundations, Methodologies and Applications
A new version of the ant-miner algorithm discovering unordered rule sets
Proceedings of the 8th annual conference on Genetic and evolutionary computation
An Ant Colony Optimization Algorithm for Learning Classification Rules
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Data mining with an ant colony optimization algorithm
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expert Systems with Applications: An International Journal
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Most local optimization algorithms are hard to search the global minimum. In this paper, we implemented and tested an AVO inversion scheme based on ACO algorithms. The ant colony optimization (ACO) algorithms are inspired by the behavior of ants to find solutions to combinatorial optimization problem. Inversion results of synthetic data and real model demonstrate that ACO algorithms applied in nonlinear AVO inversion should be considered well not only in terms of accuracy but also in terms of computation effort. Meanwhile it can provide a new approach to solve the nonlinear problems of network traffic allocation optimization.