IEEE 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

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, German Hernandez, 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

Zbigniew Michalewicz, Kalyanmoy Deb, Martin Schmidt, Thomas 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

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, 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