Maryam Hasani-Shoreh

11 papers A 1B 3Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2020 A conf
Neural Networks in Evolutionary Dynamic Constrained Optimization: Computational Cost and Benefits.
ECAI
Maryam Hasani-Shoreh, Renato Hermoza Aragonés, Frank Neumann
2020 J jnl
Neural Networks in Evolutionary Dynamic Constrained Optimization: Computational Cost and Benefits.
CoRR
Maryam Hasani-Shoreh, Renato Hermoza Aragonés, Frank Neumann
2020 — conf
Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation.
SSCI
Maryam Hasani-Shoreh, Renato Hermoza Aragonés, Frank Neumann
2020 J jnl
Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation.
CoRR
Maryam Hasani-Shoreh, Renato Hermoza Aragonés, Frank Neumann
2019 B conf
On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints.
CEC
Maryam Hasani-Shoreh, Maria Yaneli Ameca-Alducin, Wilson Blaikie, Marc Schoenauer
2019 J jnl
On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints.
CoRR
Maryam Hasani-Shoreh, Maria Yaneli Ameca-Alducin, Wilson Blaikie, Frank Neumann, Marc Schoenauer
2019 — conf
On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization.
ICONIP (1)
Maryam Hasani-Shoreh, Frank Neumann
2019 J jnl
On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization.
CoRR
Maryam Hasani-Shoreh, Frank Neumann
2018 B conf
A Comparison of Constraint Handling Techniques for Dynamic Constrained Optimization Problems.
CEC
Maria Yaneli Ameca-Alducin, Maryam Hasani-Shoreh, Wilson Blaikie, Frank Neumann, Efrén Mezura-Montes
2018 J jnl
A Comparison of Constraint Handling Techniques for Dynamic Constrained Optimization Problems.
CoRR
Maria Yaneli Ameca-Alducin, Maryam Hasani-Shoreh, Wilson Blaikie, Frank Neumann, Efrén Mezura-Montes
2018 B conf
On the Use of Repair Methods in Differential Evolution for Dynamic Constrained Optimization.
EvoApplications
Maria Yaneli Ameca-Alducin, Maryam Hasani-Shoreh, Frank Neumann