What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- The Internet
Angel A. Juan spends much of his time researching Vehicle routing problem, Mathematical optimization, Metaheuristic, Heuristics and Routing. His Vehicle routing problem study incorporates themes from Distributed computing, Transport engineering, Local search, Local search and Operations research. In his study, Simulation optimization is strongly linked to Algorithm, which falls under the umbrella field of Mathematical optimization.
His research integrates issues of Facility location problem, Combinatorial optimization problem, Stochastic optimization and Reliability in his study of Metaheuristic. His research investigates the connection between Heuristics and topics such as Probabilistic analysis of algorithms that intersect with issues in Genetic algorithm, Ant colony optimization algorithms, Tabu search, Simulated annealing and Random search. His Routing study incorporates themes from Hybrid algorithm, Process and Scope.
His most cited work include:
- A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems (202 citations)
- Rich Vehicle Routing Problem: Survey (146 citations)
- On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics (96 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Mathematical optimization, Vehicle routing problem, Metaheuristic, Operations research and Heuristics. Angel A. Juan interconnects Probability distribution and Randomized algorithm in the investigation of issues within Mathematical optimization. He studied Vehicle routing problem and Algorithm that intersect with Job shop scheduling.
His studies examine the connections between Metaheuristic and genetics, as well as such issues in Flow shop scheduling, with regards to Permutation. His studies in Operations research integrate themes in fields like Quality and Order. His study focuses on the intersection of Routing and fields such as Stochastic process with connections in the field of Reliability.
He most often published in these fields:
- Mathematical optimization (38.08%)
- Vehicle routing problem (30.25%)
- Metaheuristic (25.98%)
What were the highlights of his more recent work (between 2019-2021)?
- Mathematical optimization (38.08%)
- Metaheuristic (25.98%)
- Operations research (18.51%)
In recent papers he was focusing on the following fields of study:
Angel A. Juan mostly deals with Mathematical optimization, Metaheuristic, Operations research, Vehicle routing problem and Orienteering. The various areas that Angel A. Juan examines in his Mathematical optimization study include Duration, Flow shop scheduling and Permutation. His work on Variable neighborhood search as part of general Metaheuristic study is frequently connected to Series, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Operations research research is multidisciplinary, relying on both Probability distribution, Reliability, Time horizon, Supply chain management and Monte Carlo method. His work carried out in the field of Vehicle routing problem brings together such families of science as Omnichannel, Heuristic, Heuristic and Measure. His Orienteering research incorporates elements of Routing, Order and Heuristics.
Between 2019 and 2021, his most popular works were:
- A variable neighborhood search simheuristic for the multiperiod inventory routing problem with stochastic demands (37 citations)
- A variable neighborhood search simheuristic for project portfolio selection under uncertainty (32 citations)
- A biased‐randomized iterated local search for the distributed assembly permutation flow‐shop problem (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Statistics
Angel A. Juan mainly focuses on Metaheuristic, Mathematical optimization, Variable neighborhood search, Operations research and Vehicle routing problem. His Metaheuristic research includes elements of Orienteering, Process and Heuristic. Much of his study explores Mathematical optimization relationship to Discrete event simulation.
Angel A. Juan has included themes like Cash flow, Stochastic optimization and Project portfolio management in his Variable neighborhood search study. His Vehicle routing problem research is included under the broader classification of Computer network. His Iterated local search study combines topics from a wide range of disciplines, such as Facility location problem, Permutation and Flow shop scheduling.
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