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Irene Moser
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2020 – today
- 2024
- [j19]Hassan Afzaal, Mark Wallace, Irene Moser, Daniel Damir Harabor:
Snapshot-Optimal Real-Time Ride Sharing. Inf. 15(4): 174 (2024) - 2023
- [c41]Stephen Chen, Shanshan Lao, Irene Moser:
Footprinting the Behaviour of Particle Swarm Optimization with Increasing Dimensionality. LA-CCI 2023: 1-6 - 2022
- [c40]Stephen Chen, Shanshan Lao, Irene Moser:
Particle swarm optimization with average-fitness based selection. GECCO Companion 2022: 81-84 - 2020
- [j18]Farhad Zafari, Irene Moser, Timos Sellis:
ReEx: An integrated architecture for preference model representation and explanation. Expert Syst. Appl. 161: 113706 (2020) - [j17]Rasoul Rahmani, Irene Moser, Antonio L. Cricenti:
Modelling and optimisation of microgrid configuration for green data centres: A metaheuristic approach. Future Gener. Comput. Syst. 108: 742-750 (2020) - [j16]Zeinab Farahmandpour, Mehdi Seyedmahmoudian, Alex Stojcevski, Irene Moser, Jean-Guy Schneider:
Cognitive Service Virtualisation: A New Machine Learning-Based Virtualisation to Generate Numeric Values. Sensors 20(19): 5664 (2020) - [j15]M. Amin Rigi, Irene Moser, M. Mehdi Farhangi, Chengfei Lui:
Finding and tracking local communities by approximating derivatives in networks. World Wide Web 23(3): 1519-1551 (2020) - [c39]Ubaid Mehmood, Irene Moser, Nicole Ronald:
Event attendance prediction using social media. ACSW 2020: 16:1-16:7
2010 – 2019
- 2019
- [j14]Katherine M. Malan, Irene Moser:
Constraint Handling Guided by Landscape Analysis in Combinatorial and Continuous Search Spaces. Evol. Comput. 27(2): 267-289 (2019) - [j13]Farhad Zafari, Irene Moser, Tim Baarslag:
Modelling and analysis of temporal preference drifts using a component-based factorised latent approach. Expert Syst. Appl. 116: 186-208 (2019) - [j12]Omid Tarkhaneh, Irene Moser:
An improved differential evolution algorithm using Archimedean spiral and neighborhood search based mutation approach for cluster analysis. Future Gener. Comput. Syst. 101: 921-939 (2019) - [c38]Ahsan Morshed, Abdur Rahim Mohammad Forkan, Pei-Wei Tsai, Prem Prakash Jayaraman, Timos Sellis, Dimitrios Georgakopoulos, Irene Moser, Rajiv Ranjan:
VisCrimePredict: a system for crime trajectory prediction and visualisation from heterogeneous data sources. SAC 2019: 1099-1106 - [c37]Ubaid Mehmood, Irene Moser, Prem Prakash Jayaraman, Abhik Banerjee:
Occupancy Estimation using WiFi: A Case Study for Counting Passengers on Busses. WF-IoT 2019: 165-170 - 2018
- [j11]Mehdi Naseriparsa, Md. Saiful Islam, Chengfei Liu, Irene Moser:
No-but-semantic-match: computing semantically matched xml keyword search results. World Wide Web 21(5): 1223-1257 (2018) - [c36]Rasoul Rahmani, Irene Moser, Antonio L. Cricenti, Hediyeh Karimi:
Decentralised Multi-Agent based Demand Response for Smart Grid with Inclusion of Green Data Centre. SoftCOM 2018: 1-6 - [i3]Farhad Zafari, Irene Moser, Tim Baarslag:
Modelling and Analysis of Temporal Preference Drifts Using A Component-Based Factorised Latent Approach. CoRR abs/1802.09728 (2018) - [i2]Rasoul Rahmani, Irene Moser, Mohammadmehdi Seyedmahmoudian:
A Complete Model for Modular Simulation of Data Centre Power Load. CoRR abs/1804.00703 (2018) - 2017
- [j10]Aldeida Aleti, Irene Moser, Lars Grunske:
Analysing the fitness landscape of search-based software testing problems. Autom. Softw. Eng. 24(3): 603-621 (2017) - [j9]Sahar Sohrabi, Yun Yang, Irene Moser, Aldeida Aleti:
Energy-efficient adaptive virtual machine migration mechanism for private Clouds. Concurr. Comput. Pract. Exp. 29(18) (2017) - [j8]Irene Moser, Marius Gheorghita, Aldeida Aleti:
Identifying Features of Fitness Landscapes and Relating Them to Problem Difficulty. Evol. Comput. 25(3): 407-437 (2017) - [j7]Farhad Zafari, Irene Moser:
Modelling socially-influenced conditional preferences over feature values in recommender systems based on factorised collaborative filtering. Expert Syst. Appl. 87: 98-117 (2017) - [c35]Ayad Turky, Irene Moser, Aldeida Aleti:
An Iterated Local Search with Guided Perturbation for the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-Dimensional Loading Constraints. ACALCI 2017: 279-290 - [c34]M. Amin Rigi, Irene Moser, Seddigh Rigi, Chengfei Liu:
Re-imaginig the Networks: Detecting Local Communities in Networks by Approximating Derivatives in Graph Space. ASONAM 2017: 974-981 - [c33]Aldeida Aleti, Katherine M. Malan, Irene Moser:
Fitness landscape characterisation of optimisation problems: GECCO 2017 tutorial. GECCO (Companion) 2017: 435-449 - [c32]Farhad Zafari, Rasoul Rahmani, Irene Moser:
Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems. IJCAI 2017: 1332-1339 - [i1]Mehdi Naseriparsa, Md. Saiful Islam, Chengfei Liu, Irene Moser:
No-But-Semantic-Match: Computing Semantically Matched XML Keyword Search Results. CoRR abs/1703.02212 (2017) - 2016
- [j6]Aldeida Aleti, Irene Moser:
A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms. ACM Comput. Surv. 49(3): 56:1-56:35 (2016) - [j5]Irene Moser, Marius Gheorghita, Aldeida Aleti:
Investigating the correlation between indicators of predictive diagnostic optimisation and search result quality. Inf. Sci. 372: 162-180 (2016) - [j4]Asef Nazari, Dhananjay R. Thiruvady, Aldeida Aleti, Irene Moser:
A mixed integer linear programming model for reliability optimisation in the component deployment problem. J. Oper. Res. Soc. 67(8): 1050-1060 (2016) - [c31]Farhad Zafari, Irene Moser:
Feature-Aware Factorised Collaborative Filtering. Australasian Conference on Artificial Intelligence 2016: 561-569 - [c30]Sahar Sohrabi, Antony Tang, Irene Moser, Aldeida Aleti:
Adaptive virtual machine migration mechanism for energy efficiency. GREENS@ICSE 2016: 8-14 - 2015
- [c29]Indika Meedeniya, Aldeida Aleti, Irene Moser:
Efficient Sensitivity Analysis of Reliability in Embedded Software. ACALCI 2015: 395-408 - [c28]Shannon Pace, Ayad Turky, Irene Moser, Aldeida Aleti:
Distributing Fibre Boards: A Practical Application of the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-dimensional Loading Constraints. ICCS 2015: 2257-2266 - [c27]Sahar Sohrabi, Irene Moser:
The Effects of Hotspot Detection and Virtual Machine Migration Policies on Energy Consumption and Service Levels in the Cloud. ICCS 2015: 2794-2798 - [c26]Aldeida Aleti, Irene Moser:
Fitness Landscape Characterisation for Constrained Software Architecture Optimisation Problems. ICECCS 2015: 11-20 - 2014
- [j3]Aldeida Aleti, Irene Moser, Indika Meedeniya, Lars Grunske:
Choosing the Appropriate Forecasting Model for Predictive Parameter Control. Evol. Comput. 22(2): 319-349 (2014) - [j2]Indika Meedeniya, Irene Moser, Aldeida Aleti, Lars Grunske:
Evaluating probabilistic models with uncertain model parameters. Softw. Syst. Model. 13(4): 1395-1415 (2014) - [c25]Dhananjay R. Thiruvady, Irene Moser, Aldeida Aleti, Asef Nazari:
Constraint Programming and Ant Colony System for the Component Deployment Problem. ICCS 2014: 1937-1947 - 2013
- [c24]Syed Md. Galib, Irene Moser:
A Framework for the Evaluation of Methods for Road Traffic Assignment. Australasian Conference on Artificial Intelligence 2013: 190-195 - [c23]Michal Wosko, Irene Moser, Khalid Mansour:
Scheduling for Optimal Response Times in Queues of Stochastic Workflows. Australasian Conference on Artificial Intelligence 2013: 502-513 - [c22]Marius Gheorghita, Irene Moser, Aldeida Aleti:
Designing and characterising fitness landscapes with various operators. IEEE Congress on Evolutionary Computation 2013: 2766-2772 - [c21]Aldeida Aleti, Irene Moser:
Studying feedback mechanisms for adaptive parameter control in evolutionary algorithms. IEEE Congress on Evolutionary Computation 2013: 3117-3124 - [c20]Marius Gheorghita, Irene Moser, Aldeida Aleti:
Characterising fitness landscapes using predictive local search. GECCO (Companion) 2013: 67-68 - [c19]Aldeida Aleti, Irene Moser:
Entropy-based adaptive range parameter control for evolutionary algorithms. GECCO 2013: 1501-1508 - [c18]Suraya Masrom, Irene Moser, James Montgomery, Siti Zaleha Zainal Abidin, Nasiroh Omar:
Hybridization of Particle Swarm Optimization with adaptive genetic algorithm operators. ISDA 2013: 153-158 - [p1]Irene Moser, Raymond Chiong:
Dynamic Function Optimization: The Moving Peaks Benchmark. Metaheuristics for Dynamic Optimization 2013: 35-59 - 2012
- [c17]Aldeida Aleti, Irene Moser, Sanaz Mostaghim:
Adaptive Range Parameter Control. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c16]Irene Moser, Marius Gheorghita:
Combining search space diagnostics and optimisation. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c15]Jan Richter, Irene Moser:
A distributed multiobjective approach to negotiations in semi-competitive environments. IEEE Congress on Evolutionary Computation 2012: 1-7 - 2011
- [c14]Syed Md. Galib, Irene Moser:
Road traffic optimisation using an evolutionary game. GECCO (Companion) 2011: 519-526 - [c13]Aldeida Aleti, Irene Moser:
Predictive parameter control. GECCO 2011: 561-568 - [c12]Irene Moser, James Montgomery:
Population-ACO for the automotive deployment problem. GECCO 2011: 777-784 - [c11]Indika Meedeniya, Irene Moser, Aldeida Aleti, Lars Grunske:
Architecture-based reliability evaluation under uncertainty. QoSA/ISARCS 2011: 85-94 - 2010
- [j1]Irene Moser, Raymond Chiong:
Dynamic function optimisation with hybridised extremal dynamics. Memetic Comput. 2(2): 137-148 (2010) - [c10]Irene Moser, Sanaz Mostaghim:
The automotive deployment problem: A practical application for constrained multiobjective evolutionary optimisation. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c9]Irene Moser:
Hooke-Jeeves revisited. IEEE Congress on Evolutionary Computation 2009: 2670-2676 - [c8]Irene Moser, Raymond Chiong:
A Hooke-Jeeves Based Memetic Algorithm for Solving Dynamic Optimisation Problems. HAIS 2009: 301-309 - [c7]Aldeida Aleti, Lars Grunske, Indika Meedeniya, Irene Moser:
Let the Ants Deploy Your Software - An ACO Based Deployment Optimisation Strategy. ASE 2009: 505-509 - 2007
- [c6]Irene Moser:
Concealed Contributors to Result Quality - The Search Process of Ant Colony System. ACAL 2007: 25-35 - [c5]Irene Moser, Tim Hendtlass:
A simple and efficient multi-component algorithm for solving dynamic function optimisation problems. IEEE Congress on Evolutionary Computation 2007: 252-259 - [c4]Irene Moser, Tim Hendtlass:
Solving Dynamic Single-Runway Aircraft Landing Problems With Extremal Optimisation. CISched 2007: 206-211 - 2006
- [c3]Irene Moser, Tim Hendtlass:
Solving Problems with Hidden Dynamics - Comparison of Extremal Optimisation and Ant Colony System. IEEE Congress on Evolutionary Computation 2006: 1248-1255 - [c2]Tim Hendtlass, Irene Moser, Marcus Randall:
Dynamic Problems and Nature Inspired Meta-Heuristics. e-Science 2006: 111 - [c1]Irene Moser, Tim Hendtlass:
On the Behaviour of Extremal Optimisation When Solving Problems with Hidden Dynamics. IEA/AIE 2006: 292-301
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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