Memetic Computing, Volume 1

Volume 1, Number 1, March 2009

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

• 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
  
• Thomas Fischer, Kerstin Bauer, Peter Merz:
  Solving the routing and wavelength assignment problem with a multilevel distributed memetic algorithm. 101-123
  
• James M. Whitacre, Ruhul A. Sarker, Q. Tuan Pham:
  Making and breaking power laws in evolutionary algorithm population dynamics. 125-137
  
• Claus de Castro Aranha, Hitoshi Iba:
  The Memetic Tree-based Genetic Algorithm and its application to Portfolio Optimization. 139-151
  
• Ferrante Neri, Ville Tirronen:
  Scale factor local search in differential evolution. 153-171
  

Volume 1, Number 3, November 2009

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

Volume 1, Number 4, December 2009

• Shaoning Pang, Tao Ban:
  Guest editorial: Thematic issue on 'Adaptive Soft Computing Techniques and Applications'. 239-240
  
• Petr Kadlec, Bogdan Gabrys:
  Architecture for development of adaptive on-line prediction models. 241-269
  
• Koichiro Yamauchi:
  Optimal incremental learning under covariate shift. 271-279
  
• Malay Bhattacharyya, Sanghamitra Bandyopadhyay:
  Solving maximum fuzzy clique problem with neural networks and its applications. 281-290
  
• 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
  
• Pitoyo Hartono, Sachiko Kakita:
  Fast reinforcement learning for simple physical robots. 305-313
  

Last update Fri May 17 20:35:28 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page