What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Algorithm
- Artificial intelligence
His scientific interests lie mostly in Mathematical optimization, Job shop scheduling, Metaheuristic, Flow shop scheduling and Algorithm.
The study of Mathematical optimization is intertwined with the study of Operations research in a number of ways.
His Job shop scheduling study combines topics from a wide range of disciplines, such as Local search and Minification.
His Metaheuristic research integrates issues from Multi-objective optimization, Scheduling and Greedy algorithm.
His work in Flow shop scheduling addresses subjects such as Tardiness, which are connected to disciplines such as Speedup and Stochastic programming.
His Algorithm research focuses on Genetic algorithm and how it connects with Sequence-dependent setup.
His most cited work include:
- A SIMPLE AND EFFECTIVE ITERATED GREEDY ALGORITHM FOR THE PERMUTATION FLOWSHOP SCHEDULING PROBLEM (669 citations)
- The hybrid flow shop scheduling problem (476 citations)
- A comprehensive review and evaluation of permutation flowshop heuristics (443 citations)
What are the main themes of his work throughout his whole career to date?
Rubén Ruiz mainly investigates Mathematical optimization, Job shop scheduling, Heuristics, Metaheuristic and Flow shop scheduling.
His Mathematical optimization research is multidisciplinary, incorporating elements of Sequence-dependent setup and Tardiness.
His Job shop scheduling research incorporates elements of Algorithm, Greedy algorithm, Scheduling and Genetic algorithm.
His Heuristics study integrates concerns from other disciplines, such as Iterated local search, Integer programming and Completion time.
His Metaheuristic research incorporates themes from Assignment problem, Simulated annealing and Tabu search.
His research integrates issues of Rate-monotonic scheduling, Two-level scheduling, Fair-share scheduling and Combinatorial optimization in his study of Flow shop scheduling.
He most often published in these fields:
- Mathematical optimization (60.90%)
- Job shop scheduling (46.62%)
- Heuristics (24.06%)
What were the highlights of his more recent work (between 2019-2021)?
- Mathematical optimization (60.90%)
- Distributed computing (10.53%)
- Job shop scheduling (46.62%)
In recent papers he was focusing on the following fields of study:
Rubén Ruiz focuses on Mathematical optimization, Distributed computing, Job shop scheduling, Server and Metaheuristic.
Mathematical optimization is closely attributed to Single-machine scheduling in his work.
Rubén Ruiz has included themes like Dynamic programming, Fault tolerant scheduling and Cloud workflow in his Distributed computing study.
The concepts of his Job shop scheduling study are interwoven with issues in Multi-objective optimization and Bi objective.
His Metaheuristic research includes themes of Scheduling, Algorithm design, Design process and Industrial engineering.
His Local search research is multidisciplinary, incorporating perspectives in Exact algorithm and Speedup.
Between 2019 and 2021, his most popular works were:
- Mass casualty management in disaster scene : a systematic review of OR&MS research in humanitarian operations (15 citations)
- Ergonomic risk and cycle time minimization for the U-shaped worker assignment assembly line balancing problem: A multi-objective approach (13 citations)
- Energy-aware cloud workflow applications scheduling with geo-distributed data (8 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Mathematical optimization
- Artificial intelligence
The scientist’s investigation covers issues in Distributed computing, Cloud workflow, Triage, Mass Casualty and Scarcity.
Preparedness, Operations management, Humanitarian Logistics, Phase and Search and rescue are fields of study that overlap with his Triage research.
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