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ORCIDIEEE Transactions on Evolutionary Computation, Volume 8
Volume 8, Number 1, February 2004
- Chang-Yong Lee, Xin Yao
:
Evolutionary programming using mutations based on the Levy probability distribution. 1-13 - Lourdes Araujo:
Symbiosis of evolutionary techniques and statistical natural language processing. 14-27 - Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson:
Toward a theory of generalization and learning in XCS. 28-46 - Edmund K. Burke, Steven M. Gustafson, Graham Kendall:
Diversity in genetic programming: an analysis of measures and correlation with fitness. 47-62 - Adam Prügel-Bennett:
Symmetry breaking in population-based optimization. 63-79 - Qingfu Zhang:
On stability of fixed points of limit models of univariate marginal distribution algorithm and factorized distribution algorithm. 80-93
Volume 8, Number 2 April 2004
- Yew-Soon Ong, Andy J. Keane:
Meta-Lamarckian learning in memetic algorithms. 99-110 - John C. Gallagher, Saranyan A. Vigraham, Gregory R. Kramer:
A family of compact genetic algorithms for intrinsic evolvable hardware. 111-126 - Qingfu Zhang, Heinz Mühlenbein:
On the convergence of a class of estimation of distribution algorithms. 127-136 - Neal K. Bambha, Shuvra S. Bhattacharyya, Jürgen Teich, Eckart Zitzler:
Systematic integration of parameterized local search into evolutionary algorithms. 137-155 - Kuk-Hyun Han, Jong-Hwan Kim:
Quantum-inspired evolutionary algorithms with a new termination criterion, Hepsilon gate, and two-phase scheme. 156-169 - Marco Laumanns, Lothar Thiele, Eckart Zitzler:
Running time analysis of multiobjective evolutionary algorithms on pseudo-Boolean functions. 170-182 - Durga Prasad Muni, Nikhil R. Pal, Jyotirmay Das:
A novel approach to design classifiers using genetic programming. 183-196
Volume 8, Number 3, June 2004
- Russell C. Eberhart, Yuhui Shi:
Guest Editorial Special Issue on Particle Swarm Optimization. 201-203 - Rui Mendes, James Kennedy, José Neves:
The Fully Informed Particle Swarm: Simpler, Maybe Better. 204-210 - Konstantinos E. Parsopoulos, Michael N. Vrahatis:
On the Computation of All Global Minimizers Through Particle Swarm Optimization. 211-224 - Frans van den Bergh, Andries P. Engelbrecht:
A Cooperative Approach to Particle Swarm Optimization. 225-239 - Asanga Ratnaweera, Saman K. Halgamuge, Harry C. Watson:
Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients. 240-255 - Carlos A. Coello Coello, Gregorio Toscano Pulido, Maximino Salazar Lechuga:
Handling Multiple Objectives With Particle Swarm Optimization. 256-279 - L. Messerschmidt, Andries P. Engelbrecht:
Learning to Play Games Using a PSO-Based Competitive Learning Approach. 280-288 - Mark P. Wachowiak, Renata Smolíkova, Yufeng Zheng, Jacek M. Zurada, Adel Said Elmaghraby:
An Approach to Multimodal Biomedical Image Registration Utilizing Particle Swarm Optimization. 289-301
Volume 8, Number 4, August 2004
- You Seok Son, Ross Baldick:
Hybrid coevolutionary programming for Nash equilibrium search in games with local optima. 305-315 - Sushil J. Louis, John R. McDonnell:
Learning with case-injected genetic algorithms. 316-328 - Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi:
A GA-based design space exploration framework for parameterized system-on-a-chip platforms. 329-346 - Francesco Cupertino, Ernesto Mininno, David Naso, Biagio Turchiano, Luigi Salvatore:
On-line genetic design of anti-windup unstructured controllers for electric drives with variable load. 347-364 - Jinn-Tsong Tsai, Tung-Kuan Liu, Jyh-Horng Chou:
Hybrid Taguchi-genetic algorithm for global numerical optimization. 365-377 - Man Leung Wong, Kwong-Sak Leung:
An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach. 378-404 - Andrew Czarn, Cara MacNish, Kaipillil Vijayan, Berwin A. Turlach, Ritu Gupta:
Statistical exploratory analysis of genetic algorithms. 405-421 - Ant Colony Optimization. 422-423
Volume 8, Number 5, October 2004
- Marco Farina, Kalyanmoy Deb, Paolo Amato:
Dynamic multiobjective optimization problems: test cases, approximations, and applications. 425-442 - Assaf Zaritsky, Moshe Sipper:
The preservation of favored building blocks in the struggle for fitness: the puzzle algorithm. 443-455 - Zhenguo Tu, Yong Lu:
A robust stochastic genetic algorithm (StGA) for global numerical optimization. 456-470 - Fu-Lai Chung, Tak-Chung Fu, Vincent Ng, Robert W. P. Luk:
An evolutionary approach to pattern-based time series segmentation. 471-489 - Rommel G. Regis, Christine A. Shoemaker:
Local function approximation in evolutionary algorithms for the optimization of costly functions. 490-505 - Franck Robin, Esteban Moreno Soriano:
Analysis of fitness functions for electron-beam lithography simulation and evolutionary optimization. 506-511
Volume 8, Number 6, December 2004
- Minaya Villasana, Gabriela Ochoa:
Heuristic design of cancer chemotherapies. 513-521 - Shinn-Ying Ho, Li-Sun Shu, Jian-Hung Chen:
Intelligent evolutionary algorithms for large parameter optimization problems. 522-541 - Yun-Seog Yeun, Won-Sun Ruy, Young-Soon Yang, Nam-Joon Kim:
Implementing linear models in genetic programming. 542-566 - Xiao Wang, Han Wang:
Evolutionary optimization with Markov random field prior. 567-579 - Antonio Della Cioppa, Claudio De Stefano, Angelo Marcelli:
On the role of population size and niche radius in fitness sharing. 580-592 - Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya:
A multiobjective module-order model for software quality enhancement. 593-608
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