Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations
Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …
as execution time, computational complexity, and efficiency like process time and delays in …
[HTML][HTML] A survey of scheduling with parallel batch (p-batch) processing
Multiple jobs are processed simultaneously on a given batch processing machine in parallel
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …
Dynamic vehicle routing problems: Three decades and counting
Since the late 70s, much research activity has taken place on the class of dynamic vehicle
routing problems (DVRP), with the time period after year 2000 witnessing a real explosion in …
routing problems (DVRP), with the time period after year 2000 witnessing a real explosion in …
Parallel computational optimization in operations research: A new integrative framework, literature review and research directions
G Schryen - European Journal of Operational Research, 2020 - Elsevier
Solving optimization problems with parallel algorithms has a long tradition in OR. Its future
relevance for solving hard optimization problems in many fields, including finance, logistics …
relevance for solving hard optimization problems in many fields, including finance, logistics …
Scheduling jobs with ready times and precedence constraints on parallel batch machines using metaheuristics
In this paper, we discuss a scheduling problem for parallel batch machines where the jobs
have ready times. Problems of this type can be found in semiconductor wafer fabrication …
have ready times. Problems of this type can be found in semiconductor wafer fabrication …
Parallel machine scheduling with the total weighted delivery time performance measure in distributed manufacturing
L Mönch, L Shen - Computers & Operations Research, 2021 - Elsevier
In this paper, we address a parallel machine scheduling problem that is motivated by
distributed manufacturing settings. Our objective is to minimize the total weighted delivery …
distributed manufacturing settings. Our objective is to minimize the total weighted delivery …
Parallel metaheuristics and cooperative search
T Crainic - Handbook of metaheuristics, 2019 - Springer
The chapter presents a general view of parallel metaheuristics for optimization. It recalls the
main concepts and strategies in designing parallel metaheuristics and identifies trends and …
main concepts and strategies in designing parallel metaheuristics and identifies trends and …
Sequential and parallel large neighborhood search algorithms for the periodic location routing problem
VC Hemmelmayr - European Journal of Operational Research, 2015 - Elsevier
We propose a large neighborhood search (LNS) algorithm to solve the periodic location
routing problem (PLRP). The PLRP combines location and routing decisions over a …
routing problem (PLRP). The PLRP combines location and routing decisions over a …
Automatic diagnostic system for segmentation of 3D/2D brain MRI images based on a hardware architecture
F Hamdaoui, A Sakly - Microprocessors and Microsystems, 2023 - Elsevier
Magnetic resonance imaging is among the advanced diagnostic testing tools for brain health
issues. This method captures a series of detailed head images. These images are then …
issues. This method captures a series of detailed head images. These images are then …
Exploring parallel multi-GPU local search strategies in a metaheuristic framework
Optimization tasks are often complex, CPU-time consuming and usually deal with finding the
best (or good enough) solution among alternatives for a given problem. Parallel …
best (or good enough) solution among alternatives for a given problem. Parallel …