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    Journal: IEEE Trans. Evolutionary Computation

    Volume 8, Issue 6

    513 -- 521Minaya Villasana, Gabriela Ochoa. Heuristic design of cancer chemotherapies
    522 -- 541Shinn-Ying Ho, Li-Sun Shu, Jian-Hung Chen. Intelligent evolutionary algorithms for large parameter optimization problems
    542 -- 566Yun Seog Yeun, Won-Sun Ruy, Young-Soon Yang, Nam-Joon Kim. Implementing linear models in genetic programming
    567 -- 579Xiao Wang, Han Wang. Evolutionary optimization with Markov random field prior
    580 -- 592Antonio Della Cioppa, Claudio De Stefano, Angelo Marcelli. On the role of population size and niche radius in fitness sharing
    593 -- 608Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya. A multiobjective module-order model for software quality enhancement

    Volume 8, Issue 5

    425 -- 442Marco Farina, Kalyanmoy Deb, Paolo Amato. Dynamic multiobjective optimization problems: test cases, approximations, and applications
    443 -- 455Assaf Zaritsky, Moshe Sipper. The preservation of favored building blocks in the struggle for fitness: the puzzle algorithm
    456 -- 470Zhenguo Tu, Yong Lu. A robust stochastic genetic algorithm (StGA) for global numerical optimization
    471 -- 489Fu-Lai Chung, Tak-Chung Fu, Vincent T. Y. Ng, Robert W. P. Luk. An evolutionary approach to pattern-based time series segmentation
    490 -- 505Rommel G. Regis, Christine A. Shoemaker. Local function approximation in evolutionary algorithms for the optimization of costly functions
    506 -- 511Franck Robin, Esteban Moreno Soriano. Analysis of fitness functions for electron-beam lithography simulation and evolutionary optimization

    Volume 8, Issue 4

    305 -- 315You Seok Son, Ross Baldick. Hybrid coevolutionary programming for Nash equilibrium search in games with local optima
    316 -- 328Sushil J. Louis, John R. McDonnell. Learning with case-injected genetic algorithms
    329 -- 346Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi. A GA-based design space exploration framework for parameterized system-on-a-chip platforms
    347 -- 364Francesco Cupertino, Ernesto Mininno, David Naso, Biagio Turchiano, Luigi Salvatore. On-line genetic design of anti-windup unstructured controllers for electric drives with variable load
    365 -- 377Jinn-Tsong Tsai, Tung-Kuan Liu, Jyh-Horng Chou. Hybrid Taguchi-genetic algorithm for global numerical optimization
    378 -- 404Man Leung Wong, Kwong-Sak Leung. An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach
    405 -- 421Andrew Czarn, Cara MacNish, Kaipillil Vijayan, Berwin A. Turlach, Ritu Gupta. Statistical exploratory analysis of genetic algorithms

    Volume 8, Issue 3

    201 -- 203Russell C. Eberhart, Yuhui Shi. Guest Editorial Special Issue on Particle Swarm Optimization
    204 -- 210Rui Mendes, James Kennedy, José Neves. The Fully Informed Particle Swarm: Simpler, Maybe Better
    211 -- 224Konstantinos E. Parsopoulos, Michael N. Vrahatis. On the Computation of All Global Minimizers Through Particle Swarm Optimization
    225 -- 239F. vandenBergh, Andries Petrus Engelbrecht. A Cooperative Approach to Particle Swarm Optimization
    240 -- 255Asanga Ratnaweera, Saman K. Halgamuge, Harry C. Watson. Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients
    256 -- 279Carlos A. Coello Coello, Gregorio Toscano Pulido, M. Salazar Lechuga. Handling Multiple Objectives With Particle Swarm Optimization
    280 -- 288L. Messerschmidt, Andries Petrus Engelbrecht. Learning to Play Games Using a PSO-Based Competitive Learning Approach
    289 -- 301Mark P. Wachowiak, Renata Smolíkova, Y. Zheng, Jacek M. Zurada, Adel Said Elmaghraby. An Approach to Multimodal Biomedical Image Registration Utilizing Particle Swarm Optimization

    Volume 8, Issue 2

    99 -- 110Yew-Soon Ong, Andy J. Keane. Meta-Lamarckian learning in memetic algorithms
    111 -- 126John C. Gallagher, Saranyan Vigraham, Gregory R. Kramer. A family of compact genetic algorithms for intrinsic evolvable hardware
    127 -- 136Qingfu Zhang, Heinz Mühlenbein. On the convergence of a class of estimation of distribution algorithms
    137 -- 155Neal K. Bambha, Shuvra S. Bhattacharyya, Jürgen Teich, Eckart Zitzler. Systematic integration of parameterized local search into evolutionary algorithms
    156 -- 169Kuk-Hyun Han, Jong-Hwan Kim. Quantum-inspired evolutionary algorithms with a new termination criterion, H::epsilon:: gate, and two-phase scheme
    170 -- 182Marco Laumanns, Lothar Thiele, Eckart Zitzler. Running time analysis of multiobjective evolutionary algorithms on pseudo-Boolean functions
    183 -- 196Durga Prasad Muni, Nikhil R. Pal, Jyotirmay Das. A novel approach to design classifiers using genetic programming

    Volume 8, Issue 1

    1 -- 13Chang-Yong Lee, Xin Yao. Evolutionary programming using mutations based on the Levy probability distribution
    14 -- 27Lourdes Araujo. Symbiosis of evolutionary techniques and statistical natural language processing
    28 -- 46Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson. Toward a theory of generalization and learning in XCS
    47 -- 62Edmund K. Burke, Steven Gustafson, Graham Kendall. Diversity in genetic programming: an analysis of measures and correlation with fitness
    63 -- 79Adam Prügel-Bennett. Symmetry breaking in population-based optimization
    80 -- 93Qingfu Zhang. On stability of fixed points of limit models of univariate marginal distribution algorithm and factorized distribution algorithm
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