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- Joshua D. Knowles, David W. Corne
- Evolutionary Computation
- 2000

We introduce a simple evolution scheme for multiobjective optimization problems, called the Pareto Archived Evolution Strategy (PAES). We argue that PAES may represent the simplest possibleâ€¦ (More)

Most popular evolutionary algorithms for multiobjective optimisation maintain a population of solutions from which individuals are selected for reproduction. In this paper, we introduce a simplerâ€¦ (More)

- David W. Corne, Nick R. Jerram, Joshua D. Knowles, UKfD. W. Corne, N. R. Jerram, J. D. Knowlesg
- 2001

We describe a new selection technique for evolutionary multiobjective optimization algorithms in which the unit of selection is a hyperbox in objective space. In this technique , instead of assigningâ€¦ (More)

- Julia Handl, Joshua D. Knowles
- IEEE Transactions on Evolutionary Computation
- 2007

The framework of multiobjective optimization is used to tackle the unsupervised learning problem, data clustering, following a formulation first proposed in the statistics literature. The conceptualâ€¦ (More)

- David W. Corne, Joshua D. Knowles, Martin J. Oates
- PPSN
- 2000

We introduce a new multiobjective evolutionary algorithm called PESA (the Pareto Envelope-based Selection Algorithm), in which selection and diversity maintenance are controlled via a simpleâ€¦ (More)

- Krzysztof Socha, Joshua D. Knowles, Michael Sampels
- Ant Algorithms
- 2002

We consider a simplification of a typical university course timetabling problem involving three types of hard and three types of soft constraints. A MAX -MIN Ant System, which makes use of a separateâ€¦ (More)

- Julia Handl, Joshua D. Knowles, Douglas B. Kell
- Bioinformatics
- 2005

MOTIVATION
The discovery of novel biological knowledge from the ab initio analysis of post-genomic data relies upon the use of unsupervised processing methods, in particular clustering techniques.â€¦ (More)

Evolutionary multi objective optimisation EMO now boasts a proliferation of algorithms and bench mark problems We need principled ways to compare the performance of di erent EMO algorithms but thisâ€¦ (More)

- Joshua D. Knowles, David W. Corne
- EMO
- 2003

We describe, and make publicly available, two problem instance generators for a multiobjective version of the well-known quadratic assignment problem (QAP). The generators allow a number of instanceâ€¦ (More)