Browsing by Author "Howley, Enda"
Now showing items 1-20 of 21
-
Advances in evolutionary neural networks with applications in energy systems and the environment
Mason, Karl (NUI Galway, 2018-08-29)Evolutionary neural networks combine two of the most powerful areas of computing, evolutionary algorithms and neural networks. There are a number of benefits of using evolutionary algorithms to train a network over traditional ... -
The application of machine learning to optimise live migration in cloud data centres
Duggan, Martin (NUI Galway, 2019-08-06)Cloud computing providers utilise large-scale data centres to provide computing resource to users’ worldwide. However, an ongoing challenge facing cloud providers is to ensure that the required resource is available to ... -
Applying machine learning towards automating resource management in cloud computing environments
Shaw, Rachael (NUI Galway, 2021-01-28)Over the last number of years there has been high acceleration and widespread adoption of cloud based services by many different industries to improve the scalability and reliability of their services while also reducing ... -
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud
Duggan, Jim; Howley, Enda; Barrett, Enda (Wiley, 2012-05-30)Public Infrastructure as a Service (IaaS) clouds such as Amazon, GoGrid and Rackspace deliver computational resources by means of virtualisation technologies. These technologies allow multiple independent virtual machines ... -
Co-evolutionary analysis: a policy exploration method for system dynamics models
Hongliang, Liu; Howley, Enda; Duggan, Jim (System Dynamics Society / Wiley, 2012-10-22)In system dynamics (SD), complex nonlinear systems can generate a wide range of possible behaviours that frequently require search and optimization algorithms in order to explore optimal policies. Within the SD literature, ... -
HPC IO and seismic data performance optimization using ANNs prediction based auto-tuning
Tipu, Abdul Jabbar Saeed (NUI Galway, 2023-06-19)HPC or super-computing clusters are designed for executing computationally intensive operations that typically involve large scale IO operations. This most commonly involves using a standard MPI library implemented in ... -
The influence of random interactions and decision heuristics on norm evolution in social networks
Mungovan, Declan; Howley, Enda; Duggan, Jim (Springer, 2011-05)In this paper we explore the effect that random social interactions have on the emergence and evolution of social norms in a simulated population of agents. In our model agents observe the behaviour of others and update ... -
Knowledge-based multi-objective multi-agent reinforcement learning
Mannion, Patrick (2017-08-17)Multi-Agent Reinforcement Learning (MARL) is a powerful Machine Learning paradigm, where multiple autonomous agents can learn to improve the performance of a system through experience. The majority of MARL implementations ... -
A learning architecture for scheduling workflow applications in the cloud
Barrett, Enda; Howley, Enda; Duggan, Jim (IEEE, 2011-09-15)The scheduling of workflow applications involves the mapping of individual workflow tasks to computational resources, based on a range of functional and non-functional quality of service requirements. Workflow applications ... -
Leveraging nature-inspired techniques to semi-automate the design of multi-agent systems
Mc Donnell, Nicola (NUI Galway, 2023-07-11)Multi-agent systems (MAS) applications are used in many fields, from telecommu nications network management to traffic simulation. Their utilisation is increasing with emerging technologies such as Edge computing and the ... -
Machine learning for De Novo peptide identification
McDonnell, Kevin (NUI Galway, 2023-04-21)Proteomics involves the identification and analysis of proteins, therefore providing valuable insight into ecosystem functioning. In this methodology, protein sequences are typically identified using a bottom-up approach ... -
Multi-agent credit assignment in stochastic resource management games
Mannion, Patrick; Devlin, Sam; Duggan, Jim; Howley, Enda (Cambridge University Press (CUP), 2017-01-01)Multi-agent systems (MASs) are a form of distributed intelligence, where multiple autonomous agents act in a common environment. Numerous complex, real world systems have been successfully optimized using multi-agent ... -
Multi-objective reinforcement learning and planning for the expected scalarised returns
Hayes, Conor F. (NUI Galway, 2023-01-13)Many problems in the real world have multiple, often conflicting, objectives. To solve such problems a multi-objective approach to decision making must be taken. In the multi-objective decision making (MODeM) literature, ... -
Observations on the shortest independent loop set algorithm
Huang, Jinjing; Howley, Enda; Duggan, Jim (System Dynamics Society / Wiley, 2012-07-31)The shortest independent loop set (SILS) algorithm is a widely adopted loop selection method in eigenvalue elasticity analysis to identify dominant loops. However, we find that, in an individual-based model, the SILS cannot ... -
Parallel reinforcement learning for traffic signal control
Mannion, Patrick; Duggan, Jim; Howley, Enda (Elsevier BV, 2015-01-01) -
Particle swarm optimisation with gradually increasing directed neighbourhoods
Liu, Hongliang; Howley, Enda; Duggan, Jim (Association for Computing Machiner, 2011)Particle swarm optimisation (PSO) is an intelligent random search algorithm, and the key to success is to effectively balance between the exploration of the solution space in the early stages and the exploitation of the ... -
Policy invariance under reward transformations for multi-objective reinforcement learning
Mannion, Patrick; Devlin, Sam; Mason, Karl; Duggan, Jim; Howley, Enda (Elsevier BV, 2017-11-01) -
Preface to the special issue: adaptive learning agents part 2
Devlin, Sam; Hennes, Daniel; Howley, Enda (Informa UK Limited, 2014-04-03) -
Preface to the special issue: adaptive learning agents, part 1
Devlin, Sam; Hennes, Daniel; Howley, Enda (Informa UK Limited, 2014-01-02) -
The effects of viscosity in choice and refusal ipd environments
Howley, Enda; O’Riordan, Colm (Springer Nature, 2006-10-01)An objective of multi-agent systems is to build robust intelligent systems capable of existing in complex environments. These systems are often characterised as being uncertain and open to change which make such systems ...