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ORCIDIEEE Transactions on Evolutionary Computation, Volume 4
Volume 4, Number 1, April 2000
- Bart Naudts, Leila Kallel:
A comparison of predictive measures of problem difficulty in evolutionary algorithms. 1-15 - Josselin Garnier, Leila Kallel:
Statistical distribution of the convergence time of evolutionary algorithms for long-path problems. 16-30 - Kim W. C. Ku, Man-Wai Mak
, Wan-Chi Siu:
A study of the Lamarckian evolution of recurrent neural networks. 31-42 - Francisco Herrera, Manuel Lozano:
Gradual distributed real-coded genetic algorithms. 43-63 - Luciano Sánchez:
Interval-valued GA-P algorithms. 64-72 - Jeffrey Huang, Harry Wechsler:
Visual routines for eye location using learning and evolution. 73-82 - R. Olmi, M. Bini, S. Priori:
A genetic algorithm approach to image reconstruction in electrical impedance tomography. 83-88
Volume 4, Number 2, July 2000
- Christos Dimopoulos, Ali M. S. Zalzala:
Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and comparisons. 93-113 - Min-Jea Tahk, Byung-Chan Sun:
Coevolutionary augmented Lagrangian methods for constrained optimization. 114-124 - Joshua D. Knowles, David Corne:
A new evolutionary approach to the degree-constrained minimum spanning tree problem. 125-134 - Gábor Magyar, Mika Johnsson, Olli Nevalainen:
An adaptive hybrid genetic algorithm for the three-matching problem . 135-146 - Evan J. Hughes, Maurice Leyland:
Using multiple genetic algorithms to generate radar point-scatterer models. 147-163 - Michael L. Raymer, William F. Punch III, Erik D. Goodman, Leslie A. Kuhn, Anil K. Jain:
Dimensionality reduction using genetic algorithms. 164-171 - Dipankar Dasgupta, Germán Jairo Hernández, Fernando Niño:
An evolutionary algorithm for fractal coding of binary images. 172-181 - Shigeru Obayashi, Daisuke Sasaki, Yukishiro Takeguchi, Naoki Hirose:
Multiobjective evolutionary computation for supersonic wing-shape optimization. 182-187 - Doo-Hyun Choi, Se-Young Oh:
A new mutation rule for evolutionary programming motivated from backpropagation learning. 188-190 - Hans-Georg Beyer:
The simple genetic algorithm-foundations and theory. 191-192 - Alice E. Smith:
Swarm intelligence: from natural to artificial systems. 192-193
Volume 4, Number 3, September 2000
- Zbigniew Michalewicz, Kalyanmoy Deb, Martin Schmidt, Thomas R. Stidsen:
Test-case generator for nonlinear continuous parameter optimization techniques. 197-215 - Erick Cantú-Paz:
Markov chain models of parallel genetic algorithms. 216-226 - Roman Smierzchalski, Zbigniew Michalewicz:
Modeling of ship trajectory in collision situations by an evolutionary algorithm. 227-241 - J. K. Kishore, Lalit M. Patnaik, V. Mani, V. K. Agrawal:
Application of genetic programming for multicategory pattern classification. 242-258 - Marco Russo:
Genetic fuzzy learning. 259-273 - Sean Luke:
Two fast tree-creation algorithms for genetic programming. 274-283 - Thomas Philip Runarsson, Xin Yao:
Stochastic ranking for constrained evolutionary optimization. 284-294 - Jun He, Jiyou Xu, Xin Yao:
Solving equations by hybrid evolutionary computation techniques. 295-304
Volume 4, Number 4, 2000
- Hau-San Wong, Ling Guan:
Application of evolutionary programming to adaptive regularization in image restoration. 309-326 - Ludmila Kuncheva, Lakhmi C. Jain:
Designing classifier fusion systems by genetic algorithms. 327-336 - Peter Merz, Bernd Freisleben:
Fitness landscape analysis and memetic algorithms for the quadratic assignment problem. 337-352 - Alvaro Ruiz-Andino, Lourdes Araujo, Fernando Sáenz-Pérez, José J. Ruz:
A hybrid evolutionary approach for solving constrained optimization problems over finite domains. 353-372 - Alden H. Wright, Richard K. Thompson, Jian Zhang:
The computational complexity of N-K fitness functions. 373-379 - Yong Liu, Xin Yao, Tetsuya Higuchi:
Evolutionary ensembles with negative correlation learning. 380-387 - Justin Werfel, Melanie Mitchell, James P. Crutchfield:
Resource sharing and coevolution in evolving cellular automata. 388-393
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