What is she best known for?
The fields of study she is best known for:
- Mathematical optimization
- Programming language
- Algorithm
The scientist’s investigation covers issues in Mathematical optimization, Heuristics, Upper and lower bounds, Algorithm and Operations research.
Her Mathematical optimization research includes elements of Tree and GRASP.
Her research investigates the connection between Heuristics and topics such as Heuristic that intersect with problems in Hybrid algorithm.
Her research investigates the connection with Algorithm and areas like Set which intersect with concerns in Heuristic.
Her work on Facility location problem as part of general Operations research research is often related to Constructive, Arc routing and Ant colony, thus linking different fields of science.
The Hub location problem study combines topics in areas such as Integer programming and Duality.
Her most cited work include:
- A compact model and tight bounds for a combined location-routing problem (153 citations)
- Heuristic solutions to the problem of routing school buses with multiple objectives (140 citations)
- A Tabu search heuristic for the generalized assignment problem (120 citations)
What are the main themes of her work throughout her whole career to date?
Elena Fernández mainly investigates Mathematical optimization, Integer programming, Upper and lower bounds, Set and Operations research.
Her research on Mathematical optimization frequently connects to adjacent areas such as Algorithm.
Her Linear programming relaxation study in the realm of Integer programming connects with subjects such as Network planning and design, Series, Service and Job shop scheduling.
She works mostly in the field of Relaxation, limiting it down to concerns involving Heuristic and, occasionally, Heuristics.
Her biological study spans a wide range of topics, including Discrete mathematics, Spanning tree, Polyhedron, Special ordered set and Optimization problem.
Elena Fernández has included themes like Path, GRASP and Extension in her Heuristic study.
She most often published in these fields:
- Mathematical optimization (60.42%)
- Integer programming (19.79%)
- Upper and lower bounds (16.67%)
What were the highlights of her more recent work (between 2016-2020)?
- Mathematical optimization (60.42%)
- Set (20.83%)
- Integer programming (19.79%)
In recent papers she was focusing on the following fields of study:
Elena Fernández focuses on Mathematical optimization, Set, Integer programming, Branch and cut and Arc routing.
Her work in Mathematical optimization is not limited to one particular discipline; it also encompasses Spanning tree.
Her Spanning tree research is multidisciplinary, incorporating perspectives in Heuristics and Orders of magnitude.
Elena Fernández has researched Set in several fields, including Class, Algorithm, Branch and bound and Benchmark.
Her research brings together the fields of Operations research and Integer programming.
Her research integrates issues of Discrete mathematics, Vertex, Travelling salesman problem and Combinatorics in her study of Branch and cut.
Between 2016 and 2020, her most popular works were:
- The Shared Customer Collaboration Vehicle Routing Problem (34 citations)
- Ordered Weighted Average optimization in Multiobjective Spanning Tree Problem (13 citations)
- Exact solution of hub network design problems with profits (10 citations)
In her most recent research, the most cited papers focused on:
- Programming language
- Algorithm
- Mathematical optimization
Her primary areas of study are Mathematical optimization, Set, Integer programming, Operations research and Benchmark.
Her work carried out in the field of Mathematical optimization brings together such families of science as Algorithm, Spanning tree and Extension.
The various areas that Elena Fernández examines in her Set study include Graph, Combinatorics, Enhanced Data Rates for GSM Evolution, Branch and cut and Heuristic.
Her Integer programming research overlaps with other disciplines such as Customer collaboration, Service, Work, Vehicle routing problem and Order.
Elena Fernández combines subjects such as Branch and bound, Class, Reduction, Tree and Lagrangian relaxation with her study of Benchmark.
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