In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic
algorithms of great interest in research community are selected for analysis. This review will …

Hybrid genetic algorithms have received significant interest in recent years and are being
increasingly used to solve real-world problems. A genetic algorithm is able to incorporate …

Many types of engineering structures exhibit nonlinear behavior under real operating
conditions. Sometimes the unpredicted nonlinear behavior of a system results in …

One drawback of genetic algorithm is that it may spend much computation time in the
encoding and decoding processes. Also, since genetic algorithm lacks hill-climbing …

GENOSIM is a generic traffic microsimulation parameter optimization tool that uses genetic
algorithms and was implemented in the Port Area network in downtown Toronto, Canada …

With its inheritance, genetic algorithm may spend much computation time in the encoding
and decoding processes. Also, since genetic algorithm lacks hill-climbing capacity, it easily …

External validation is an integral part of the process of simulation model development. Many
methods of external validation of continuous system simulation models have been proposed …

Although various nonlinear control theories, such as sliding mode control, have proved
sound and successful, there is a serious lack of effective or tractable design methodologies …

A hybrid Hopfield network-simulated annealing algorithm (HopSA) is presented for the
frequency assignment problem (FAP) in satellite communications. The goal of this NP …

A genetic algorithm for the optimization of composite laminates is proposed in this work. The
well-known roulette selection criterion, one-point crossover operator, and uniform mutation …