A Metaheuristic Method for the Task Assignment Problem in Continuous-Casting Production

A Hybrid Modeling for Continuous Casting Scheduling Problem

This paper deals with a multi-agent-based interval type-2 fuzzy (IT2F) expert systemfor scheduling steel continuous casting. Continuous caster scheduling is a complex and extensiveprocess that needs expert staff. In this study, a distributed multi-agent-based structure is proposed as asolution. The agents used herein can cooperate with each other via various communication protocols.To facilitat...

Hybrid Meta-heuristic Algorithm for Task Assignment Problem

Task assignment problem (TAP) involves assigning a number of tasks to a number of processors in distributed computing systems and its objective is to minimize the sum of the total execution and communication costs, subject to all of the resource constraints. TAP is a combinatorial optimization problem and NP-complete. This paper proposes a hybrid meta-heuristic algorithm for solving TAP in a ...

A Hybrid Metaheuristic for the Quadratic Assignment Problem

Hybrid Metaheuristic Algorithm for Real Time Task Assignment Problem in Heterogeneous Multiprocessors

The assignments of real time tasks to heterogeneous multiprocessors in real time applications are very difficult in scenarios that require high performance. The main problem in the heterogeneous multiprocessor system is task assignment to the processors because the execution time for each task varies from one processor to another. Hence, the problem of finding a solution for task assignment to ...

A hybrid metaheuristic algorithm for the robust pollution-routing problem

Emissions resulted from transportation activities may lead to dangerous effects on the whole environment and human health. According to sustainability principles, in recent years researchers attempt to consider the environmental burden of logistics activities in traditional logistics problems such as vehicle routing problems (VRPs). The pollution-routing problem (PRP) is an extension of the VRP...