IEEE Transactions on Evolutionary Computation

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Evolutionary ensembles with negative correlation learning
IEEE Transactions on Evolutionary Computation - Tập 4 Số 4 - Trang 380-387 - 2000
Tetsuya Higuchi, Xin Yao, Yong Liu
ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems
IEEE Transactions on Evolutionary Computation - Tập 10 Số 1 - Trang 50-66 - 2006
Joshua Knowles
A Novel Immune Clonal Algorithm for MO Problems
IEEE Transactions on Evolutionary Computation - Tập 16 Số 1 - Trang 35-50 - 2012
Ronghua Shang, Licheng Jiao, Fang Liu, Wenping Ma
Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems
IEEE Transactions on Evolutionary Computation - Tập 10 Số 6 - Trang 646-657 - 2006
Janez Brest, S. Greiner, Borko Bošković, Marjan Mernik, V. Žumer
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation - Tập 6 Số 3 - Trang 239-251 - 2002
Leandro Nunes de Castro, Fernando J. Von Zuben
Guest editorial: special section on ant colony optimization
IEEE Transactions on Evolutionary Computation - Tập 6 Số 4 - Trang 317-319 - 2002
Marco Dorigo, Luca Maria Gambardella, Martin Middendorf, Thomas Stützle
A short convergence proof for a class of ant colony optimization algorithms
IEEE Transactions on Evolutionary Computation - Tập 6 Số 4 - Trang 358-365 - 2002
T. Stutzle, M. Dorigo
We prove some convergence properties for a class of ant colony optimization algorithms. In particular, we prove that for any small constant /spl epsiv/ > 0 and for a sufficiently large number of algorithm iterations t, the probability of finding an optimal solution at least once is P*(t) /spl ges/ 1 - /spl epsiv/ and that this probability tends to 1 for t/spl rarr//spl infin/. We also prove that, ...... hiện toàn bộ
#Convergence #Ant colony optimization #Approximation algorithms #Heuristic algorithms #Resource management #Optimal control #Learning #Stochastic processes #Terrorism #Humans
Data mining with an ant colony optimization algorithm
IEEE Transactions on Evolutionary Computation - Tập 6 Số 4 - Trang 321-332 - 2002
R.S. Parpinelli, H.S. Lopes, A.A. Freitas
The paper proposes an algorithm for data mining called Ant-Miner (ant-colony-based data miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is inspired by both research on the behavior of real ant colonies and some data mining concepts as well as principles. We compare the performance of Ant-Miner with CN2, a well-known data mining algorithm for classification...... hiện toàn bộ
#Data mining #Ant colony optimization #Clustering algorithms #Classification algorithms #Accuracy #Machine learning #Statistics #Databases #Humans #Decision making
A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization
IEEE Transactions on Evolutionary Computation - Tập 10 Số 6 - Trang 658-675 - 2006
Zixing Cai, Yong Wang
Generating robust and flexible job shop schedules using genetic algorithms
IEEE Transactions on Evolutionary Computation - Tập 7 Số 3 - Trang 275-288 - 2003
Mikkel T. Jensen
Tổng số: 69   
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