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  INITIALIZATION AND DIVERSITY IN OPTIMIZATION ALGORITHMS

  MARIO A. NAVARRO VELÁZQUEZ / BERNARDO MORALES-CASTAÑEDA / ITZEL ARANGUREN / DIEGO OLIVA / MARCO PEREZ-CI

  Designing new algorithms in swarm intelligence is a complex undertaking. Two critical factors have been seen to have a direct correlation with positive results. First is initialization, which serves as the initial step for all swarm intelligence techniques. Candidate solutions are generated to form the initial population, which are subsequently modified during the iterative pro...

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