The multi-objective optimization problem is difficult to solve with conventional optimization
methods and algorithms because there are conflicts among several optimization objectives …

Throughout the last decade, high-dimensional function optimization problems have received
substantial research interest in the field of intelligence computation. Butterfly optimization …

With the rapid development of virtualization techniques, cloud data centers allow for cost-
effective, flexible, and customizable deployments of applications on virtualized infrastructure …

With the rapid development in ubiquitous smart sensors, wireless sensor networks have
started to evolve into numerous applications including healthcare, medical, agriculture …

In this paper, an elitist nondominated sorting hybrid algorithm, namely ENSHA, is proposed
to solve the multi-objective flexible job-shop scheduling problem (MOFJSSP) with sequence …

Recently, wireless sensor networks (WSNs) and Internet of Things (IoTs) have emanated as
an indispensable assets that play a critical role in revolutionizing the field of data …

Abstract Autonomous Wireless Sensor Networks (WSNs) form the basis of several Internet of
Things (IoT) applications. Efficiency in routing data is a major concern in these networks …

Over the decades, Wireless Sensor Networks (WSNs) have reached greatest heights and
started to emerge into various applications, ranging from health care to multimedia …

Effective routing design can significantly improve the whole network performance. In order to
achieve the global best network performance, the problem of routing can be formulated as a …

Summary Wireless Sensor Network (WSNs) is a collection of sensor nodes with a base
station for data transmission. Mostly the network has various paths with the unbalanced …