Simplified binary cat swarm optimization
Inspired by the biological behavior of domestic cats, the Cat Swarm Optimization (CSO) is a
metaheuristic which has been successfully applied to solve several optimization problems …
metaheuristic which has been successfully applied to solve several optimization problems …
Overview on binary optimization using swarm-inspired algorithms
Swarm Intelligence is applied to optimisation problems due to its robustness, scalability,
generality, and flexibility. Based on simple rules, simple reactive agents-swarm (eg fish, bird …
generality, and flexibility. Based on simple rules, simple reactive agents-swarm (eg fish, bird …
Swarm-inspired algorithms to optimize a nonlinear gaussian adaptive PID controller
EDP Puchta, P Bassetto, LH Biuk, MA Itaborahy Filho… - Energies, 2021 - mdpi.com
This work deals with metaheuristic optimization algorithms to derive the best parameters for
the Gaussian Adaptive PID controller. This controller represents a multimodal problem …
the Gaussian Adaptive PID controller. This controller represents a multimodal problem …
On the Effect of Quantum Noise in Quantum Genetic Algorithms
In recent years, quantum computing is finding strong application in the development of new
evolutionary algorithms. This is mainly due to the intrinsic parallelism induced by this new …
evolutionary algorithms. This is mainly due to the intrinsic parallelism induced by this new …
Fish School Search: Account for the First Decade
Fish School Search (FSS) is a swarm-intelligence subfamily of algorithms proposed by
Bastos Filho and Lima Neto in 2008 and first published in 2009. In the FSS, the simple …
Bastos Filho and Lima Neto in 2008 and first published in 2009. In the FSS, the simple …