What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Algorithm
- Linear programming
His primary areas of investigation include Mathematical optimization, Operations research, Algorithm, Data envelopment analysis and Purchasing.
In general Mathematical optimization, his work in Heuristic, Heuristics and Subgradient method is often linked to Covering problems linking many areas of study.
His Heuristic study combines topics from a wide range of disciplines, such as Genetic algorithm and Genetic operator.
His Heuristics research includes themes of Efficient frontier, Portfolio optimization, Portfolio and Quadratic programming.
His study on Data envelopment analysis also encompasses disciplines like
- Management science which intersects with area such as Higher education,
- Project management that intertwine with fields like Decision theory and Scheduling.
His studies deal with areas such as Information and Communications Technology, Information technology and Information system as well as Purchasing.
His most cited work include:
- OR-Library: Distributing Test Problems by Electronic Mail (1579 citations)
- A Genetic Algorithm for the Multidimensional Knapsack Problem (656 citations)
- Heuristics for cardinality constrained portfolio optimisation (643 citations)
What are the main themes of his work throughout his whole career to date?
John E. Beasley mainly focuses on Mathematical optimization, Algorithm, Operations research, Heuristic and Heuristic.
The various areas that John E. Beasley examines in his Mathematical optimization study include Reduction and Limit.
His study in Algorithm is interdisciplinary in nature, drawing from both Crew scheduling and Shortest path problem.
The concepts of his Operations research study are interwoven with issues in Tabu search, Vehicle routing problem, Scheduling, Data envelopment analysis and Project management.
His Heuristic course of study focuses on Combinatorics and Discrete mathematics.
He has included themes like Genetic algorithm, Block and Linear programming relaxation in his Heuristic study.
He most often published in these fields:
- Mathematical optimization (41.46%)
- Algorithm (20.33%)
- Operations research (19.51%)
What were the highlights of his more recent work (between 2011-2021)?
- Mathematical optimization (41.46%)
- Econometrics (9.76%)
- Portfolio (9.76%)
In recent papers he was focusing on the following fields of study:
John E. Beasley focuses on Mathematical optimization, Econometrics, Portfolio, Order and Index.
His studies link Combinatorics with Mathematical optimization.
His Portfolio research incorporates themes from Computational intelligence, Transaction cost and Nonlinear solver.
In his study, Linear programming is strongly linked to Purchasing, which falls under the umbrella field of Transaction cost.
His research on Order also deals with topics like
- Integer which connect with Order allocation, Rack, Sequence and Heuristics,
- Routing which is related to area like Integer programming and Grocery shopping.
His work is dedicated to discovering how Linear programming relaxation, Heuristic are connected with Operations research and other disciplines.
Between 2011 and 2021, his most popular works were:
- Portfolio rebalancing with an investment horizon and transaction costs (79 citations)
- Optimally solving the joint order batching and picker routing problem (49 citations)
- Packing unequal circles using formulation space search (34 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Mathematical optimization
- Linear programming
John E. Beasley spends much of his time researching Mathematical optimization, Circle packing, Combinatorics, Heuristic and Portfolio optimization.
John E. Beasley frequently studies issues relating to Routing and Mathematical optimization.
His Circle packing study incorporates themes from Space, Unit square and Unit circle.
His Heuristic research is multidisciplinary, incorporating perspectives in Real-time computing, Order, Order picking and Integer programming.
His Portfolio optimization study combines topics in areas such as Efficient frontier, Actuarial science and Relative return.
His biological study spans a wide range of topics, including Merton's portfolio problem, Transaction cost, Investment, Holding period return and Rate of return on a portfolio.
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