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: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
IEEE press
2010
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/35592/ |