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TEC
2008
98views more  TEC 2008»
14 years 10 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
BIODATAMINING
2008
85views more  BIODATAMINING 2008»
14 years 10 months ago
A review of estimation of distribution algorithms in bioinformatics
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformati...
Rubén Armañanzas, Iñaki Inza,...
KES
2008
Springer
14 years 10 months ago
Instruction-based development: From evolution to generic structures of digital circuits
Evolutionary techniques provide powerful tools to design novel solutions for hard problems in different areas. However, the problem of scale (i.e. how to create a large, complex s...
Michal Bidlo, Jaroslav Skarvada
JFPLC
2003
15 years 2 days ago
Une approche hybride pour l'optimisation multi-objectif sous contraintes
ABSTRACT. We present PICPA, a new algorithm for tackling constrained continuous multiobjective problems. The algorithm combines constraint propagation techniques and evolutionary c...
Vincent Barichard, Jin-Kao Hao
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 4 months ago
Evolutionary algorithms and matroid optimization problems
We analyze the performance of evolutionary algorithms on various matroid optimization problems that encompass a vast number of efficiently solvable as well as NP-hard combinatoria...
Joachim Reichel, Martin Skutella