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Adaptive differential evolution algorithm with a pheromone-based learning strategy for global continuous optimization

Differential evolution algorithm (DE) is a well-known population-based method for solving continuous optimization problems. It has a simple structure and is easy to adapt to a wide range of applications. However, with suitable population sizes, its performance depends on the two main control paramet...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Singsathid Pirapong, Puphasuk Pikul, Wetweerapong Jeerayut
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Sciendo 2023-06-01
Rangatū:Foundations of Computing and Decision Sciences
Ngā marau:
Urunga tuihono:https://doi.org/10.2478/fcds-2023-0010
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