Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails
Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic representation, called Q-bit, to encode individuals in population. Unlike standard evolutionary algorithms, each Q-bit individual is...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE press
2010
|
| Online Access: | http://eprints.nottingham.ac.uk/35592/ http://eprints.nottingham.ac.uk/35592/ http://eprints.nottingham.ac.uk/35592/1/dls_cec2010.pdf |