The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
Evolutionary Computations in dynamic/uncertain environments have attracted much attention. Studies regarding this research subjects can be classified into four categories: Noise, ...
Abstract-- This paper compares three different fitness diversity adaptations in Multimeme Algorithms (MmAs). These diversity indexes have been integrated within a MmA present in li...
In terms of electronic collaboration, the value chains of the retail and consumer goods industries can be ranked among the most advanced. Recent studies have underlined the import...