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CEC
2010
IEEE
13 years 6 months ago
Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails
Abstract-- Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic re...
Hui Li, Dario Landa Silva, Xavier Gandibleux
TEC
2002
101views more  TEC 2002»
13 years 5 months ago
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
This paper proposes a novel evolutionary algorithm inspired by quantum computing, called a quantum-inspired evolutionary algorithm (QEA), which is based on the concept and principl...
Kuk-Hyun Han, Jong-Hwan Kim
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
13 years 9 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
CIBCB
2007
IEEE
13 years 7 months ago
Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms
—In metabolic engineering it is difficult to identify which set of genetic manipulations will result in a microbial strain that achieves a desired production goal, due to the co...
Miguel Rocha, José P. Pinto, Isabel Rocha, ...
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 9 months ago
A new multi-objective evolutionary algorithm for solving high complex multi-objective problems
Kangshun Li, Xuezhi Yue, Lishan Kang, Zhangxin Che...