Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails
(2010)
Conference Proceeding
Li, H., Landa-Silva, D., & Gandibleux, X. (2010). 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... Read More about Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails.