Multiobjective cellular genetic algorithms (MOcGAs) are variants of evolutionary computation
algorithms by organizing the population into grid structures, which are usually 2D grids. This …

Pre-fetching in a memory hierarchy is known to alleviate the “memory wall” paradigm but its
use is impeded because of the difficulty to estimate efficiency when used in a complex …

This paper proposes a new dynamic and algorithm-based approach to achieve fault
tolerance using 3D cellular genetic algorithms (Dynamic Fault-Tolerant 3D-cGA). The …

As the popularity of Twitter continues to increase rapidly, it is extremely necessary to analyze
the huge amount of data that Twitter users generate. A popular method of tweet analysis is …

In this paper we propose a new algorithmic approach to achieve fault tolerance based on
three dimensional cellular genetic algorithms (3D-cGAs). Herein, 3D architecture is targeted …

This paper presents a new adaptive algorithm that aims to control the exploration/
exploitation trade-off dynamically. The algorithm is designed based on three-dimensional …

This paper presents a three-dimensional cellular genetic algorithm (3D-cGA) to achieve fault
tolerance; in particular, faults occurred due to single event upsets (SEUs). Cellular genetic …

Management optimization is very important in tourism, especially when it is related to
productivity. One of the problems in management optimization is tour guide assignment …

Cellular or fine grained Genetic Algorithms (GAs) are a massively parallel algorithmic
approach to GAs. Decentralizing their population allows alternative ways to explore and to …

This paper presents the VHDL implementation of fault tolerant cellular genetic algorithm.
The goal of paper is to harden the hardware implementation of the cGA against single error …