17 citations · 51 across the 14 of their papers we have counts for
5 papers · 1 filter
Evolutionary Landscape and Management of Population Diversity
Maumita Bhattacharya
The search ability of an Evolutionary Algorithm (EA) depends on the variation among the individuals in the population [3, 4, 8]. Maintaining an optimal level of diversity in the EA…
Diversity Handling In Evolutionary Landscape
Maumita Bhattacharya
The search ability of an Evolutionary Algorithm (EA) depends on the variation among the individuals in the population. Maintaining an optimal level of diversity in the EA populatio…
Uncertainty And Evolutionary Optimization: A Novel Approach
Maumita Bhattacharya, R. Islam, A. Mahmood
Evolutionary algorithms (EA) have been widely accepted as efficient solvers for complex real world optimization problems, including engineering optimization. However, real world op…
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…
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…