10.1109/TSMCB.2006.883270IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics37142-50ITSC
Many real-world optimisation problems are both dynamic and multi-modal, which require an optimisatio...
Abstract—Inspired by biological evolution, a plethora of algo-rithms with evolutionary features have...
En este documento se propone un algoritmo de optimización multiobjetivo basado en las propiedades em...
Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various op...
10.1109/3477.938259IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics314537-556...
In recent years, hybridization of multi-objective evolutionary algorithms (MOEAs) with traditional m...
© Springer International Publishing AG, part of Springer Nature 2018. All rights reserved. Memetic a...
Many real-life optimization problems require taking into account multiple points of view correspondi...
10.1109/CEC.2007.44248782007 IEEE Congress on Evolutionary Computation, CEC 20073180-318
In the present paper, an improved particle swarm optimization (PSO) algorithm for multimodal functio...
Memetic algorithms, one type of algorithms inspired by nature, have been successfully applied to sol...
For many engineering problems we require optimization processes with dynamic adaptation as we aim to...
Developing an effective memetic algorithm that integrates the Particle Swarm Optimization (PSO) algo...
Particle Swarm Optimization is an algorithm capable of optimizing a non-linear and multidimensional ...
To date, most successful advanced stochastic optimization algorithms involve some forms of individua...
Many real-world optimisation problems are both dynamic and multi-modal, which require an optimisatio...
Abstract—Inspired by biological evolution, a plethora of algo-rithms with evolutionary features have...
En este documento se propone un algoritmo de optimización multiobjetivo basado en las propiedades em...
Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various op...
10.1109/3477.938259IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics314537-556...
In recent years, hybridization of multi-objective evolutionary algorithms (MOEAs) with traditional m...
© Springer International Publishing AG, part of Springer Nature 2018. All rights reserved. Memetic a...
Many real-life optimization problems require taking into account multiple points of view correspondi...
10.1109/CEC.2007.44248782007 IEEE Congress on Evolutionary Computation, CEC 20073180-318
In the present paper, an improved particle swarm optimization (PSO) algorithm for multimodal functio...
Memetic algorithms, one type of algorithms inspired by nature, have been successfully applied to sol...
For many engineering problems we require optimization processes with dynamic adaptation as we aim to...
Developing an effective memetic algorithm that integrates the Particle Swarm Optimization (PSO) algo...
Particle Swarm Optimization is an algorithm capable of optimizing a non-linear and multidimensional ...
To date, most successful advanced stochastic optimization algorithms involve some forms of individua...
Many real-world optimisation problems are both dynamic and multi-modal, which require an optimisatio...
Abstract—Inspired by biological evolution, a plethora of algo-rithms with evolutionary features have...
En este documento se propone un algoritmo de optimización multiobjetivo basado en las propiedades em...
DOI
Add to ORKG