Clinical trials are time consuming, expensive, and often burdensome on patients. Clinical
trials can fail for many reasons. This survey reviews many of these reasons and offers …

Progress in the discovery of new materials has been accelerated by the development of
reliable quantum-mechanical approaches to crystal structure prediction. The properties of a …

The increasing trend curve of global surface temperature against time since the 19th century
is the icon for the considerable influence humans have on the climate since the …

This paper introduces an enhancement of the recent developed Gaining Sharing
Knowledge based algorithm, dubbed as GSK. This algorithm is an excellent example of a …

Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all
major nature-inspired algorithms for optimization. The book's unified approach, balancing …

As semiconductor technology enters the more than Moore era, there exists an apparent
contradiction between the rapidly growing demands for data processing and the visible …

In recent years, the field of combinatorial optimization has witnessed a true tsunami of
“novel” metaheuristic methods, most of them based on a metaphor of some natural or man …

Balancing convergence and diversity plays a key role in evolutionary multiobjective
optimization (EMO). Most current EMO algorithms perform well on problems with two or three …

The knowledge discovery process is as old as Homo sapiens. Until some time ago this
process was solely based on the 'natural personal'computer provided by Mother Nature …