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    Journal: Memetic Computing

    Volume 1, Issue 4

    239 -- 240Shaoning Pang, Tao Ban. Guest editorial: Thematic issue on Adaptive Soft Computing Techniques and Applications
    241 -- 269Petr Kadlec, Bogdan Gabrys. Architecture for development of adaptive on-line prediction models
    271 -- 279Koichiro Yamauchi. Optimal incremental learning under covariate shift
    281 -- 290Malay Bhattacharyya, Sanghamitra Bandyopadhyay. Solving maximum fuzzy clique problem with neural networks and its applications
    291 -- 304Stephan Kirstein, Alexander Denecke, Stephan Hasler, Heiko Wersing, Horst-Michael Gross, Edgar Körner. A vision architecture for unconstrained and incremental learning of multiple categories
    305 -- 313Pitoyo Hartono, Sachiko Kakita. Fast reinforcement learning for simple physical robots

    Volume 1, Issue 3

    173 -- 174Meng-Hiot Lim, Steven Gustafson, Natalio Krasnogor, Yew-Soon Ong. Editorial
    175 -- 190Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff. Lamarckian memetic algorithms: local optimum and connectivity structure analysis
    191 -- 203Chuan-Kang Ting, Cheng-Feng Ko, Chih-Hui Huang. Selecting survivors in genetic algorithm using tabu search strategies
    205 -- 219Mohamed Bahy Bader-El-Den, Riccardo Poli, Shaheen Fatima. Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework
    221 -- 228Kazuya Morikawa, Seiichi Ozawa, Shigeo Abe. Tuning membership functions of kernel fuzzy classifiers by maximizing margins
    229 -- 238Heikki Ilmari Martikka, Ilkka Pöllänen. Multi-objective optimization by technical laws and heuristics

    Volume 1, Issue 2

    85 -- 100Ryan J. Meuth, Meng-Hiot Lim, Yew-Soon Ong, Donald C. Wunsch. A proposition on memes and meta-memes in computing for higher-order learning
    101 -- 123Thomas Fischer, Peter Merz, Kerstin Bauer. Solving the routing and wavelength assignment problem with a multilevel distributed memetic algorithm
    125 -- 137James M. Whitacre, Ruhul A. Sarker, Q. Tuan Pham. Making and breaking power laws in evolutionary algorithm population dynamics
    139 -- 151Claus de Castro Aranha, Hitoshi Iba. The Memetic Tree-based Genetic Algorithm and its application to Portfolio Optimization
    153 -- 171Ferrante Neri, Ville Tirronen. Scale factor local search in differential evolution

    Volume 1, Issue 1

    1 -- 2Meng-Hiot Lim, Steven Gustafson, Natalio Krasnogor, Yew-Soon Ong. Editorial to the first issue
    3 -- 24Xin Yu, Ke Tang, Tianshi Chen, Xin Yao. Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization
    25 -- 34Gregory Gutin, Daniel Karapetyan. A selection of useful theoretical tools for the design and analysis of optimization heuristics
    35 -- 54Roberto Santana, Pedro Larrañaga, José Antonio Lozano. Research topics in discrete estimation of distribution algorithms based on factorizations
    55 -- 67Jaume Bacardit, Edmund K. Burke, Natalio Krasnogor. Improving the scalability of rule-based evolutionary learning
    69 -- 83S. M. Kamrul Hasan, Ruhul A. Sarker, Daryl Essam, David Cornforth. Memetic algorithms for solving job-shop scheduling problems
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