Continuous Function Optimization Using Hybrid Ant Colony Approach with Orthogonal Design Scheme
暂无分享,去创建一个
[1] Alex Alves Freitas,et al. Data mining with an ant colony optimization algorithm , 2002, IEEE Trans. Evol. Comput..
[2] Ian C. Parmee,et al. The Ant Colony Metaphor for Searching Continuous Design Spaces , 1995, Evolutionary Computing, AISB Workshop.
[3] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[4] Luca Maria Gambardella,et al. Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..
[5] Yong Lu,et al. A robust stochastic genetic algorithm (StGA) for global numerical optimization , 2004, IEEE Transactions on Evolutionary Computation.
[6] Kwang Mong Sim,et al. Ant colony optimization for routing and load-balancing: survey and new directions , 2003, IEEE Trans. Syst. Man Cybern. Part A.
[7] J. Dréo,et al. Continuous interacting ant colony algorithm based on dense heterarchy , 2004, Future Gener. Comput. Syst..
[8] V. K. Jayaraman,et al. Ant Colony Approach to Continuous Function Optimization , 2000 .
[9] Luca Maria Gambardella,et al. Ant Algorithms for Discrete Optimization , 1999, Artificial Life.
[10] Luca Maria Gambardella,et al. A COOPERATIVE LEARNING APPROACH TO TSP , 1997 .
[11] Nicolas Monmarché,et al. On how Pachycondyla apicalis ants suggest a new search algorithm , 2000, Future Gener. Comput. Syst..
[12] Lih-Yuan Deng,et al. Orthogonal Arrays: Theory and Applications , 1999, Technometrics.
[13] Marco Dorigo,et al. Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[14] K. Fang,et al. Number-theoretic methods in statistics , 1993 .