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- Momodou L. Sanyang, Robert J. Durrant, Ata Kabán
- CEC
- 2016

We consider the problem of high dimensional blackbox optimisation via Estimation of Distribution Algorithms (EDA) and the use of heavy-tailed search distributions in this setting. Some authors have suggested that employing a heavy tailed search distribution, such as a Cauchy, may make EDA better explore a high dimensional search space. However, other… (More)

- Qi Xu, Momodou L. Sanyang, Ata Kabán
- CEC
- 2016

Most studies of Estimation of Distribution Algorithms (EDA) are restricted to low dimensional problems due to EDA being susceptible to the curse of dimensionality. Among methods that try to scale up EDA to high dimensional problems, EDA-MCC was recently proposed. It controls the complexity of the search distribution by thresholding correlation estimates as… (More)

- Momodou L. Sanyang, Ata Kabán
- IDEAL
- 2014

We consider Black-Box continuous optimization by Estimation of Distribution Algorithms (EDA). In continuous EDA, the multivariate Gaussian distribution is widely used as a search operator, and it has the well-known advantage of modelling the correlation structure of the search variables, which univariate EDA lacks. However, the Gaussian distribution as a… (More)

- Momodou L. Sanyang, Ata Kabán
- CEC
- 2015

In this paper, we present a new variant of EDA for high dimensional continuous optimisation, which extends a recently proposed random projections (RP) ensemble based approach by employing heavy tailed random matrices. In particular, we use random matrices with i.i.d. t-distributed entries. The use of t-distributions may look surprising in the context of… (More)

- Momodou L. Sanyang, Hanno Muehlbrandt, Ata Kabán
- 2014 IEEE International Conference on Data Mining…
- 2014

We consider the problem of high dimensional black-box optimisation via Estimation of Distribution Algorithms (EDA). The Gaussian distribution is commonly used as a search operator in most of the EDA methods. However there are indications in the literature that heavy tailed distributions may perform better due to their higher exploration capabilities.… (More)

- Momodou L. Sanyang, Ata Kabán
- PPSN
- 2016

It has been observed that in many real-world large scale problems only few variables have a major impact on the function value: While there are many inputs to the function, there are just few degrees of freedom. We refer to such functions as having a low intrinsic dimension. In this paper we devise an Estimation of Distribution Algorithm (EDA) for… (More)

- Richard M. Jennings, Jonathan A Chappel, +13 authors DEPC Diethylpyrocarbonate
- 2014

A major surface protein complex on the Plasmodium falciparum merozoite, Merozoite Surface Protein-1 (MSP-1) undergoes a proteolytic cleavage at the time of erythrocyte invasion by the parasite. Two murine monoclonal antibodies, mAb 12.8 and mAb 12.10, are specific for a 19 kDa subunit of MSP-1 (MSP-119) and can prevent both this proteolytic cleavage and… (More)

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