The evolution and future of manufacturing: A review
Manufacturing is continuously evolving from concept development to methods and tools
available for the production of goods for use or sale. Traditionally, manufacturing refers to an …
available for the production of goods for use or sale. Traditionally, manufacturing refers to an …
Optimization methods applied to renewable and sustainable energy: A review
Energy is a vital input for social and economic development. As a result of the generalization
of agricultural, industrial and domestic activities the demand for energy has increased …
of agricultural, industrial and domestic activities the demand for energy has increased …
Offloading in mobile edge computing: Task allocation and computational frequency scaling
In this paper, we propose an optimization framework of offloading from a single mobile
device (MD) to multiple edge devices. We aim to minimize both total tasks' execution latency …
device (MD) to multiple edge devices. We aim to minimize both total tasks' execution latency …
Analytics for an online retailer: Demand forecasting and price optimization
KJ Ferreira, BHA Lee… - Manufacturing & service …, 2016 - pubsonline.informs.org
We present our work with an online retailer, Rue La La, as an example of how a retailer can
use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the …
use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the …
[图书][B] Scheduling
ML Pinedo - 2012 - Springer
Michael L. Pinedo Theory, Algorithms, and Systems Sixth Edition Page 1 Scheduling Michael L.
Pinedo Theory, Algorithms, and Systems Sixth Edition Page 2 Scheduling Page 3 Michael L …
Pinedo Theory, Algorithms, and Systems Sixth Edition Page 2 Scheduling Page 3 Michael L …
Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic
This research proposes a new type of Grey Wolf optimizer named Gradient-based Grey Wolf
Optimizer (GGWO). Using gradient information, we accelerated the convergence of the …
Optimizer (GGWO). Using gradient information, we accelerated the convergence of the …
Discrete convex analysis
K Murota - Mathematical Programming, 1998 - Springer
A theory of “discrete convex analysis” is developed for integer-valued functions defined on
integer lattice points. The theory parallels the ordinary convex analysis, covering discrete …
integer lattice points. The theory parallels the ordinary convex analysis, covering discrete …
[图书][B] Genetic algorithms: principles and perspectives: a guide to GA theory
C Reeves, JE Rowe - 2002 - books.google.com
Genetic Algorithms (GAs) have become a highly effective tool for solving hard optimization
problems. As their popularity has increased, the number of GA applications has grown in …
problems. As their popularity has increased, the number of GA applications has grown in …
A survey on distributed topology control techniques for extending the lifetime of battery powered wireless sensor networks
Large-scale, self-organizing wireless sensor and mesh network deployments are being
driven by recent technological developments such as The Internet of Things (IoT), Smart …
driven by recent technological developments such as The Internet of Things (IoT), Smart …
[图书][B] Handbook of approximation algorithms and metaheuristics
TF Gonzalez - 2007 - taylorfrancis.com
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …