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Enda Ridge
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2010 – 2019
- 2010
- [p2]Enda Ridge, Daniel Kudenko:
Tuning an Algorithm Using Design of Experiments. Experimental Methods for the Analysis of Optimization Algorithms 2010: 265-286
2000 – 2009
- 2008
- [p1]Enda Ridge, Daniel Kudenko:
Determining Whether a Problem Characteristic Affects Heuristic Performance. Recent Advances in Evolutionary Computation for Combinatorial Optimization 2008: 21-35 - 2007
- [b1]Enda Ridge:
Design of Experiments for the Tuning of Optimisation Algorithms. University of York, UK, 2007 - [j2]Enda Ridge, Edward Curry, Daniel Kudenko, Dimitar Kazakov:
Special issue on Nature-inspired systems for parallel, asynchronous and decentralised environments. Multiagent Grid Syst. 3(1): 1-2 (2007) - [j1]Enda Ridge, Edward Curry:
A roadmap of nature-inspired systems research and development. Multiagent Grid Syst. 3(1): 3-8 (2007) - [c8]Enda Ridge, Daniel Kudenko:
An Analysis of Problem Difficulty for a Class of Optimisation Heuristics. EvoCOP 2007: 198-209 - [c7]Enda Ridge, Daniel Kudenko:
Analyzing heuristic performance with response surface models: prediction, optimization and robustness. GECCO 2007: 150-157 - [c6]Enda Ridge, Daniel Kudenko:
Screening the parameters affecting heuristic performance. GECCO 2007: 180 - [c5]Enda Ridge, Daniel Kudenko:
Tuning the Performance of the MMAS Heuristic. SLS 2007: 46-60 - 2006
- [c4]Enda Ridge, Daniel Kudenko, Dimitar Kazakov:
A Study of Concurrency in the Ant Colony System Algorithm. IEEE Congress on Evolutionary Computation 2006: 1662-1669 - 2005
- [c3]Edward Curry
, Enda Ridge:
The collective: a common information service for self-managed middleware. ARM@Middleware 2005: 12 - [c2]Enda Ridge, Daniel Kudenko, Dimitar Kazakov, Edward Curry:
Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments. SOAS 2005: 35-49 - 2004
- [c1]Enda Ridge, Michael G. Madden, Gerard Lyons:
The Evolution of Probabilistic Reciprocity in a Multi-agent Environment with Neighborhoods. CIA 2004: 123-136
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