In a population-based meta-heuristic, the search process is divided into two main phases:
exploration versus exploitation. In the exploration phase, a random behavior is fruitful to …

Differential evolution (DE) is one of the best evolutionary algorithms (EAs). The effort of
improving its performance has received great research attentions, such as adaptive DE …

Swarm Intelligence (SI) is quite popular in the field of numerical optimization and has
enormous scope for research. A number of algorithms based on decentralized and self …

Component selection in electronic circuit design is an important issue to achieve a targeted
performance and quality level. Particularly in filter circuits, changes in gain and phase …

Biogeography-based optimization (BBO) is an emerging meta-heuristic algorithm. Due to
ease of implementation and very few user-dependent parameters, BBO gained popularity …

In last few years, swarm intelligence has become the mainstay in the field of continuous
optimization with many researchers developing algorithms simulating swarm behavior for …

Hybridization is an integrated framework that combines the merits of algorithms to improve
the performance of an optimizer. In this chapter, the synergism of the improved version of …

The wide range of applications of particulate materials in the modern industry, as well as
growing concerns about their potential risks to human health and the environment, has …

Wear personal protective equipment appropriate for spill size, location and conditions,
including self-contained breathing apparatus, rubber boots, heavy rubber gloves and …