|
|
|
|
|
Jose Bernardes, Jr., Mateus Santos, Thiago Abreu, Lenio Prado, Jr., Dannilo Miranda, Ricardo Julio, Pedro Viana, Marcelo Fonseca, Edson Bortoni and Guilherme Sousa Bastos
The optimal dispatch of hydropower plants consists of the challenge of taking advantage of both available head and river flows. Despite the objective of delivering the maximum power to the grid, some variables are uncertain, dynamic, non-linear, and non-...
ver más
|
|
|
|
|
|
|
|
|
Athanasios C. Spanos, Sotiris P. Gayialis, Evripidis P. Kechagias and Georgios A. Papadopoulos
In this research, we present a hybrid algorithmic framework and its integration into the precise production scheduling system of a Greek metal forming factory. The system was created as a decision support tool to assist production planners in arranging w...
ver más
|
|
|
|
|
|
|
|
|
Hongchan Li, Haodong Zhu and Tianhua Jiang
In recent decades, workshop scheduling has excessively focused on time-related indicators, while ignoring environmental metrics. With the advent of sustainable manufacturing, the energy-aware scheduling problem has been attracting more and more attention...
ver más
|
|
|
|
|
|
|
|
|
Fachrurrazi Fachrurrazi,Abdullah Abdullah,Yuwaldi Away,Teuku Budi Aulia
Pág. 86 - 94
Problems for both delayed and accelerated activities in scheduling are common in most projects. This problem can implicate on the additional construction cost with different trends as a specific model. A model can provide valuable information to project ...
ver más
|
|
|
|
|
|
|
|
|
Amr Mohamed AbdelAziz, Taysir Hassan A. Soliman, Kareem Kamal A. Ghany and Adel Abu El-Magd Sewisy
Multi-Objective Problems (MOPs) are common real-life problems that can be found in different fields, such as bioinformatics and scheduling. Pareto Optimization (PO) is a popular method for solving MOPs, which optimizes all objectives simultaneously. It p...
ver más
|
|
|
|