This paper presents an investigation into the classification of a difficult data set containing large intra-class variability but low inter-class variability. Standard classifiers...
Selection methods in Evolutionary Algorithms, including Genetic Algorithms, Evolution Strategies ES and Evolutionary Programming, EP are compared by observing the rate of converge...
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Abstract. This paper presents a novel hybrid approach for solving the Container Loading (CL) problem based on the combination of Integer Linear Programming (ILP) and Genetic Algori...
Any computational approach to design, including the use of evolutionary algorithms, requires the transformation of the domain-specific knowledge into a formal design representatio...
Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De ...