A number of methods currently exist for the analysis and design of slopes. This book
provides a critical review of these and offers several more appropriate approaches for …

Abstract Particle Swarm Optimization (PSO) is one of the most widely used heuristic
algorithms. The simplicity and inexpensive computational cost makes this algorithm very …

The concept of Swarm Intelligence is based on the ability of individuals to learn with their
own experience in a group as well as to take advantage of the performance of other …

ABSTRACT Particle Swarm Optimization (PSO) is a biologically inspired computational
search and optimization method developed in 1995 by Eberhart and Kennedy based on the …

Thresholding is one of the popular and fundamental techniques for conducting image
segmentation. Many thresholding techniques have been proposed in the literature. Among …

The research proposed in this paper shows application of the sine cosine swarm
intelligence algorithm for feature selection problem in the machine learning domain. Feature …

Particle swarm optimization (PSO) algorithm is a swarm intelligent searching algorithm
based on population that simulates the social behavior of birds, bees, or fish groups. The …

Locating the critical slip surface with the minimum factor of safety of a slope is a difficult NP
type optimization problem. In recent years, some modern global optimization methods have …

Urban land use spatial allocation is crucial to lots of countries that are usually under severe
environmental and demographic pressures, because it can be used to alleviate some land …

Cancer is one of the foremost causes of death and can be reduced by early diagnosis.
Computer Aided Diagnostic system plays an important role in the detection of cancer …