Knowles J.D. Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization. PhD Thesis, Department of Computer Science, University of Reading, UK, 2001. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Performance Assessment of Multiobjective.. - Zitzler, Thiele.. (2002) (6 citations) (Correct)
....the comparison method also evaluate the former as being better (or at least not worse) than the latter More from a practical point of view, Knowles, Corne, and Oates [12] compared the information provided by di#erent assessment techniques on two database management applications. Later, Knowles [14] and Knowles and Corne [13] discussed and contrasted several commonly used quality measures in the light of Hansen and Jaszkiewicz s approach as well as according to other criteria such as, e.g. sensitivity to scaling. They showed that about one third of the investigated quality measures are not ....
....that about one third of the investigated quality measures are not compliant with any of the outperformance relations introduced by Hansen and Jaszkiewicz. This paper takes a di#erent perspective that allows a more rigorous analysis and classification of comparison methods. In contrast to [9] [14], and [13] we focus on the statements that can be made on the basis of the information provided by quality measures. Is it, for instance, possible to conclude from the quality measurements that an approximation A is undoubtedly better than approximation B in the sense that A, loosely speaking, ....
[Article contains additional citation context not shown here]
Joshua D. Knowles. Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization. PhD thesis, Department of Computer Science, University of Reading, UK, 2002.
Bounded Archiving using the Lebesgue Measure - Knowles, Corne, Fleischer (2003) (1 citation) Self-citation (Knowles) (Correct)
No context found.
Joshua D. Knowles. Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization. PhD thesis, University of Reading, UK, 2002.
No Free Lunch and Free Leftovers Theorems for Multiobjective.. - Corne, Knowles (2003) (1 citation) Self-citation (Knowles) (Correct)
....currently less used examples can be found in [6] Before we consider NFL in relation to such metrics, it is worth mentioning that they are far from trivial counterparts to absolute performance metrics. e.g. some such metrics yield intransitive performance relationships between algorithms. See [8] for a full treatment of multiobjective comparison metrics and their properties in this sense, as well as [9] and [18] It turns out that there is a potential free lunch when comparative performance is concerned, at least for certain comparative metrics tlS: VxV 5R. This arises owing to an ....
Knowles, J.D. (2002) Local search and hybrid evolutionary algorithms for Pareto optimization, PhD Thesis, Department of Computer Science, University of Reading, UK.
The Influence of the Fitness Evaluation Method on the.. - Burke, Silva (2004) (Correct)
No context found.
Knowles J.D. Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization. PhD Thesis, Department of Computer Science, University of Reading, UK, 2001.
KEA - a software package for development, analysis .. - Bartz-Beielstein, .. (2004) (Correct)
No context found.
Joshua D. Knowles. Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization. PhD thesis, The University of Reading, Department of Computer Science, Reading, UK, January 2002.
Improving the Performance of Trajectory-Based Multiobjective.. - Burke, Silva (2002) (Correct)
No context found.
Knowles J.D., Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization, PhD thesis, Department of Computer Science, University of Reading, UK, 2001.
Multicriteria Optimization with Export Rules for Mechanical Design - Coelho (2004) (Correct)
No context found.
J.D. Knowles, Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization, PhD Thesis, Department of Computer Science, University of Reading, UK, 335 pp. (2002).
Particle Swarm Optimizers for Pareto Optimization.. - Bartz-Beielstein, .. (Correct)
No context found.
J. D. Knowles. Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization. PhD thesis, The University of Reading, Departement of Computer Science, Reading, UK, January 2002.
Improving the Performance of Trajectory-Based Multiobjective.. - Burke, Silva (Correct)
No context found.
Knowles J.D., Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization, PhD thesis, Department of Computer Science, University of Reading, UK, 2001.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC