17 citations · 51 across the 14 of their papers we have counts for
4 papers · 1 filter
Bioclimating Modelling: A Machine Learning Perspective
Maumita Bhattacharya
Many machine learning (ML) approaches are widely used to generate bioclimatic models for prediction of geographic range of organism as a function of climate. Applications such as p…
Evolutionary Approaches to Expensive Optimisation
Maumita Bhattacharya
Surrogate assisted evolutionary algorithms (EA) are rapidly gaining popularity where applications of EA in complex real world problem domains are concerned. Although EAs are powerf…
Machine Learning for Bioclimatic Modelling
Maumita Bhattacharya
Many machine learning (ML) approaches are widely used to generate bioclimatic models for prediction of geographic range of organism as a function of climate. Applications such as p…
Expensive Optimisation: A Metaheuristics Perspective
Maumita Bhattacharya
Stochastic, iterative search methods such as Evolutionary Algorithms (EAs) are proven to be efficient optimizers. However, they require evaluation of the candidate solutions which…