Volume 1, Number 1, March 2009

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

Volume 1, Number 2, June 2009

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

Volume 1, Number 3, November 2009

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

Volume 1, Number 4, December 2009

Adaptive Soft Computing Techniques and Applications; Guest Editors: Shaoning Pang and Tao Ban

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