Three different kinds of the novel enhanced genetic algorithm procedures including the
hybrid genetic algorithm, interval genetic algorithm and hybrid interval genetic algorithm are …

Numerous constitutive models of granular soils have been developed during the last few
decades. As a consequence, how to select an appropriate model with the necessary …

Almost all evolutionary algorithms suffer from the problem of premature convergence and
stagnation in local optima. An approach based on an evolutionary algorithm is presented in …

This volume was born from the experience of the authors as researchers and educators,
which suggests that many students of data mining are handicapped in their research by the …

This paper deals with the concept of including the popular genetic algorithm operator, cross-
over and root mean square (RMS) variants into particle swarm optimization (PSO) algorithm …

Different critical state-related formulas, for the critical state line and the critical state-
dependent interlocking effect, have been proposed in constitutive modeling of granular …

Over the last few decades, many improved Evolutionary Algorithms (EAs) have been
proposed to tackle different types of optimization problems. Genetic Algorithm (GA) among …

A real-coded genetic algorithm (GA) applied to the system identification and control for a
class of nonlinear systems is proposed in this paper. It is well known that GA is a globally …

A modified real‐coded genetic algorithm to identify the parameters of large structural
systems subject to the dynamic loads is presented in this article. The proposed algorithm …

Inverse analysis using an optimization method based on a genetic algorithm (GA) is a useful
tool for obtaining soil parameters in geotechnical fields. However, the performance of the …