Karl Mason

发表

Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks

Jim Duggan, Karl Mason, Enda Howley, 2018, Energy.

Advances in evolutionary neural networks with applications in energy systems and the environment

Karl Mason, Karl Mason, 2018 .

Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract)

Sam Devlin, Jim Duggan, Patrick Mannion, 2016, AAMAS.

Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch

Jim Duggan, Karl Mason, Enda Howley, 2017, GECCO.

Exploring avoidance strategies and neighbourhood topologies in particle swarm optimisation

Karl Mason, Enda Howley, 2016 .

Predicting host CPU utilization in the cloud using evolutionary neural networks

Enda Barrett, Jim Duggan, Karl Mason, 2018, Future Gener. Comput. Syst..

An “On The Fly” Framework for Efficiently Generating Synthetic Big Data Sets

Santiago Grijalva, Sadegh Vejdan, Karl Mason, 2019, 2019 IEEE International Conference on Big Data (Big Data).

A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning

Jim Duggan, Karl Mason, Enda Howley, 2018, Appl. Soft Comput..

Predicting host CPU utilization in cloud computing using recurrent neural networks

Enda Barrett, Jim Duggan, Karl Mason, 2017, 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST).

Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants

Jim Duggan, Karl Mason, Enda Howley, 2017, Neurocomputing.

Policy invariance under reward transformations for multi-objective reinforcement learning

Sam Devlin, Jim Duggan, Patrick Mannion, 2017, Neurocomputing.

Neural network topology and weight optimization through neuro differential evolution

Jim Duggan, Karl Mason, Enda Howley, 2017, GECCO.

Watershed management using neuroevolution

Jim Duggan, Karl Mason, Enda Howley, 2018, Modeling Earth Systems and Environment.

Avoidance Strategies in Particle Swarm Optimisation

Karl Mason, Enda Howley, 2015, MENDEL.

A Review of Reinforcement Learning for Autonomous Building Energy Management pdf

Santiago Grijalva, Karl Mason, S. Grijalva, 2019, Comput. Electr. Eng..

A multi-objective neural network trained with differential evolution for dynamic economic emission dispatch

Jim Duggan, Karl Mason, Enda Howley, 2018, International Journal of Electrical Power & Energy Systems.

A deep neural network approach for behind-the-meter residential PV size, tilt and azimuth estimation

Santiago Grijalva, Sadegh Vejdan, Matthew J. Reno, 2020 .

Building HVAC Control via Neural Networks and Natural Evolution Strategies

Santiago Grijalva, Karl Mason, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Maze Navigation using Neural Networks Evolved with Novelty Search and Differential Evolution

Jim Duggan, Karl Mason, 2018 .