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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)

- 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)

- 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)

- J. Knowles, David W. Corne
- 2000

A memetic algorithm for tackling multiobjective optimization problems is presented. The algorithm employs the proven local search strategy used in the Pareto archived evolution strategy (PAES) andâ€¦ (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)

One common characterization of how simple hill climbing optimization methods can fail is that they become trapped in local op tima a state where no small modi cation of the current best solution willâ€¦ (More)

- David W. Corne, Joshua D. Knowles
- GECCO
- 2007

The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much evidence of theirâ€¦ (More)

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

Finding the degree-constrained minimum spanning tree (d-MST) of a graph is a wellstudied NP-hard problem of importance in communications network design and other network-related problems. In thisâ€¦ (More)

- Joshua D. Knowles, David W. Corne
- IEEE Trans. Evolutionary Computation
- 2003

Search algorithms for Pareto optimization are designed to obtain multiple solutions, each offering a different tradeoff of the problem objectives. To make the different solutions available at the endâ€¦ (More)