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ORCIDMemetic Computing, Volume 2
Volume 2, Number 1, March 2010
- Ke Tang, Kay Chen Tan, Hisao Ishibuchi
:
Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization. 1 - Yu Wang, Bin Li:
Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization. 3-24 - Abdul Sattar, Renaud Séguier:
HMOAM: hybrid multi-objective genetic optimization for facial analysis by appearance model. 25-46 - Maoguo Gong, Chao Liu, Licheng Jiao, Gang Cheng:
Hybrid immune algorithm with Lamarckian local search for multi-objective optimization. 47-67 - Oliver Kramer:
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization. 69-83
Volume 2, Number 2, June 2010
- Ferrante Neri, Shengxiang Yang:
Guest editorial: Memetic Computing in the presence of uncertainties. 85-86 - Wee Tat Koo, Chi Keong Goh, Kay Chen Tan:
A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment. 87-110 - Ernesto Mininno, Ferrante Neri:
A memetic Differential Evolution approach in noisy optimization. 111-135 - Irene Moser, Raymond Chiong:
Dynamic function optimisation with hybridised extremal dynamics. 137-148
- Wei-Chen Cheng, Cheng-Yuan Liou:
Manifold construction based on local distance invariance. 149-160 - Jasper A. Vrugt, Bruce A. Robinson, James Mac Hyman:
Comment on paper "Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization" by Wang and Li. 161-162
Volume 2, Number 3, September 2010
- Jaume Bacardit, Xavier Llorà:
Guest Editorial: Thematic Issue on 'Metaheuristics for large scale data mining'. 163-164 - Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson:
A hierarchical multi-label classification ant colony algorithm for protein function prediction. 165-181 - Joaquín Derrac, Salvador García, Francisco Herrera:
Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability. 183-199 - Wilfried Jakob:
A general cost-benefit-based adaptation framework for multimeme algorithms. 201-218 - Heesang Shin, Napoleon H. Reyes:
Finding near optimum colour classifiers: genetic algorithm-assisted fuzzy colour contrast fusion using variable colour depth. 219-236 - Matteo Cacciola, Giuseppe Megali, Maurizio Fiasché, Mario Versaci, Francesco Carlo Morabito:
A comparison between neural networks and k-nearest neighbours for blood cells taxonomy. 237-246
Volume 2, Number 4, December 2010
- Kok Wai Wong, László T. Kóczy:
Guest editorial: uncertainty modelling and intelligent information processing. 247-248 - Pawalai Kraipeerapun, Sathit Nakkrasae, Chun Che Fung, Somkid Amornsamankul:
Solving regression problem with complementary neural networks and an adjusted averaging technique. 249-257 - Péter Földesi, János Botzheim:
Modeling of loss aversion in solving fuzzy road transport traveling salesman problem using eugenic bacterial memetic algorithm. 259-271 - Arit Thammano, Phongthep Ruxpakawong:
Nonlinear dynamic system identification using recurrent neural network with multi-segment piecewise-linear connection weight. 273-282 - Annamária R. Várkonyi-Kóczy:
New advances in digital image processing. 283-304 - Bara'a Ali Attea:
A fuzzy multi-objective particle swarm optimization for effective data clustering. 305-312
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