An efficient allocation of tasks to the processors is a crucial problem in heterogeneous
computing systems. Finding an optimal schedule for such an environment is an NP …

Task scheduling in a distributed environment is an NP-hard problem. A large amount of time
is required for solving this NP-hard problem using traditional techniques. Heuristics/meta …

Task Scheduling (TS) is one of the crucial issues in distributed systems (DS). Finding an
optimal schedule for such an environment is NP-hard. Heuristics/meta-heuristics are the …

Task scheduling in heterogeneous multiprocessor systems is an extremely hard NP
complete problem. Hence, the heuristic approaches must be used to discover good …

Achieving minimum execution time for any application with better resource utilisation is a
major challenge in heterogeneous distributed systems. But the performance can be …

Heterogeneous computing system has become necessary in real time for providing a
massive amount of computational resources to execute large‐scale complex applications …

The optimal mapping of tasks to the processors is one of the challenging issues in
heterogeneous computing systems. This article presents a task scheduling problem in …

Discrete particle swarm optimization is one of the most recently developed population-based
meta-heuristic optimization algorithm in swarm intelligence that can be used in any discrete …

A distributed heterogeneous system consists of a suite of processors or machines with
different processing capacities. It can be performance-to-cost efficient to meet the diverse …

Tasks allocation problem in heterogeneous and distributed-multiprocessing computing
environments is a nonlinear multi-objective NP-hard problem and from a research …