Cloud computing has emerged as the most favorable computing platform for researchers
and industry. The load balanced task scheduling has emerged as an important and …

A grid computing system consists of a group of programs and resources that are spread
across machines in the grid. A grid system has a dynamic environment and decentralized …

One of the most applicable versions of the Vehicle Routing Problem (VRP) which has been
widely studied in logistic services is Capacitated Vehicle Routing Problem (CVRP). There …

This paper presents a novel method on the optimization of bi-objective Flexible Job-shop
Scheduling Problem (FJSP) under stochastic processing times. The robust counterpart …

A potentially important, yet under-stated membership function (MF) shape viz. semi-elliptic
membership function (SEMF) has been elaborated in this paper so that researchers are able …

Abstract High-Performance Computing (HPC) systems offer massive computation strength to
execute large-scale applications. However, the availability of thousands of CPU cores in the …

The restricted Maximum k-Satisfiability MAX-kSAT is an enhanced Boolean satisfiability
counterpart that has attracted numerous amount of research. Genetic algorithm has been the …

Job scheduling is one of the thrust research area in the discipline of Grid computing.
Scheduling in the Grid environment is not only complicated but also known to be NP …

A grid computing environment provides a type of distributed computation that is unique
because it is not centrally managed and it has the capability to connect heterogeneous …

Effective task scheduling based on interactive autodidactic school algorithm for cloud computing
Page 1 Automatika Journal for Control, Measurement, Electronics, Computing and …