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A Decision Model Based on a GRASP Genetic Algorithm for Solving the Vehicle Routing Problem

Yahyaoui, Hiba; Krichen, Saoussen; Dekdouk, Abdelkader - In: International Journal of Applied Metaheuristic … 9 (2018) 2, pp. 72-90

In this paper, the authors address a delivery process with time requirements in the supply chain, stated as follows: orders launched from customers are centralized and assigned to firms' depots for the delivery process. The consideration of a depot and a set of customers belonging to different...

Persistent link: https://www.econbiz.de/10012042967

RAID 60 Storage Reliability and Cost Optimization Using Weibull Distribution and Cuckoo Search Algorithm with Lévy Flights

Zineddine, Mhamed; Akaaboune, Adel - In: International Journal of Applied Metaheuristic … 9 (2018) 3, pp. 13-39

This article describes how in this digital age, storage devices have been permitting the design of systems with the capacity to handle massive amount of diverse types of data. Real-time storage devices have been using complex architectures to accommodate the exponential increase of generated...

Persistent link: https://www.econbiz.de/10012042969

Community Structure Detection Using Firefly Algorithm

Jaradat, Ameera Saleh; Hamad, Safa'a Bani - In: International Journal of Applied Metaheuristic … 9 (2018) 4, pp. 52-70

Firefly algorithm is used as an optimization algorithm to solve the community detection problem by maximizing the modularity …

Persistent link: https://www.econbiz.de/10012042975

The Optimal Checkpoint Interval for the Long-Running Application

Zhai, Yongning; Li, Weiwei - In: International Journal of Advanced Pervasive and … 9 (2017) 2, pp. 45-54

distribution, the optimal equidistant checkpoint interval for fault tolerant performance optimization is analyzed and derived in … performance optimization. …

Persistent link: https://www.econbiz.de/10012043044

A Generic, Multi-Period and Multi-Partner Cost Optimizing Model for Cloud-Based Supply Chain

Rehan, Mohammad; Akyuz, Goknur Arzu - In: International Journal of Cloud Applications and … 6 (2016) 2, pp. 55-63

Cloud technology in a multi-enterprise, collaborative context is one of the most promising topics at IT-Supply Chain (SC) intersection. Cloud comes with well-proven advantages and cost savings; enabling collaboration and business intelligence. Cloud transition is still on-going with individual...

Persistent link: https://www.econbiz.de/10012043355

Using Ontology and Modelling Concepts to Develop Smart Applications: Example Dutch Railway

von Scheel, Henrik; von Rosing, Mark; Bach, Bas - In: International Journal of Conceptual Structures and … 5 (2017) 1, pp. 48-69

Innovating one's organizations alongside the digital transformation that the industry 4.0 and with it the internet of things enables, is a complex undertaking. This case story covers the passage and stages that the Dutch railway transportation industry went through in applying standards from...

Persistent link: https://www.econbiz.de/10012043801

Optimizing ETL by a Two-Level Data Staging Method

Liu, Xiufeng; Iftikhar, Nadeem; Nielsen, Per Sieverts; … - In: International Journal of Data Warehousing and Mining (IJDWM) 12 (2016) 3, pp. 32-50

In data warehousing, the data from source systems are populated into a central data warehouse (DW) through extraction, transformation and loading (ETL). The standard ETL approach usually uses sequential jobs to process the data with dependencies, such as dimension and fact data. It is a...

Persistent link: https://www.econbiz.de/10012044215

Thermodynamic and Energy Study of a Regenerator in Gas Turbine Cycle and Optimization of Performances

Abed, Saria; Khir, Taher; Ben Brahim, Ammar - In: International Journal of Energy Optimization and … 5 (2016) 2, pp. 25-44

that measure cycles' performance. Subsequently, numerical optimization is established through EES software to determinate …

Persistent link: https://www.econbiz.de/10012044543

Quasi Oppositional Teaching-Learning based Optimization for Optimal Power Flow Incorporating FACTS

Roy, Provas Kumar; Dutta, Susanta; Nandi, Debashis - In: International Journal of Energy Optimization and … 5 (2016) 2, pp. 64-84

In this paper, quasi-oppositional teaching-learning based optimization (QOTLBO) is introduced and successfully applied …). The main drawback of the original teaching-learning based optimization (TLBO) is that it gives a local optimal solution …-based optimization (HDE-BBO). This method gives better solution quality in finding the optimal parameter settings for FACTS devices to …

Persistent link: https://www.econbiz.de/10012044545

A Confrontation of Lattice Boltzmann, Finite Difference and Taguchi Experimental Design Results for Optimizing Plasma Spraying Operating Conditions Toward Deposit Requirements

Djebali, Ridha - In: International Journal of Energy Optimization and … 6 (2017) 4, pp. 16-34

The aim of the present work is the confrontation of three numerical techniques results to optimize the operating conditions of thermal plasma spraying process. The Lattice Boltzmann method (LBM) is used to scrutinize dispersion effects of injection parameters on droplet impact characteristics...

Persistent link: https://www.econbiz.de/10012044570