What is he best known for?
The fields of study he is best known for:
- Algorithm
- Programming language
- Artificial intelligence
The scientist’s investigation covers issues in Mathematical optimization, Integer programming, Distribution system, Contamination and Genetic algorithm.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Event and Representation.
His Integer programming research is multidisciplinary, incorporating perspectives in Structure and Fraction.
His Contamination research incorporates themes from Process, Water resources, Facility location problem, Series and Exploit.
The various areas that William E. Hart examines in his Genetic algorithm study include Local optimum, Simulated annealing and Variety.
His studies deal with areas such as Iterated local search, Tabu search, Guided Local Search, Hill climbing and Beam search as well as Simulated annealing.
His most cited work include:
- Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function (7789 citations)
- The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms (422 citations)
- Pyomo: modeling and solving mathematical programs in Python (323 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Mathematical optimization, Algorithm, Programming language, Integer programming and Evolutionary algorithm.
His Mathematical optimization research incorporates elements of Simple and Robustness.
The study incorporates disciplines such as Object-oriented programming and Massively parallel, Parallel computing in addition to Integer programming.
His study focuses on the intersection of Evolutionary algorithm and fields such as Convergence with connections in the field of Mutation.
His Python study combines topics in areas such as Stochastic programming, Software, Modeling language and Solver.
His Memetic algorithm study is concerned with the larger field of Artificial intelligence.
He most often published in these fields:
- Mathematical optimization (25.32%)
- Algorithm (12.34%)
- Programming language (9.09%)
What were the highlights of his more recent work (between 2011-2021)?
- Programming language (9.09%)
- Mathematical optimization (25.32%)
- Python (7.14%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Programming language, Mathematical optimization, Python, Theoretical computer science and Set.
His research integrates issues of Benders' decomposition and Algebraic optimization in his study of Programming language.
William E. Hart integrates Mathematical optimization with Distribution system in his research.
His studies deal with areas such as Software, Stochastic optimization and Scripting language as well as Python.
The various areas that he examines in his Theoretical computer science study include Modeling software, Global optimization, Component and Disjunctive programming.
His Set study integrates concerns from other disciplines, such as Algorithm and Table, Database.
Between 2011 and 2021, his most popular works were:
- Pyomo - Optimization Modeling in Python (216 citations)
- PySP: modeling and solving stochastic programs in Python (85 citations)
- Exascale applications: skin in the game. (19 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Programming language
- Artificial intelligence
William E. Hart mainly investigates Mathematical optimization, Theoretical computer science, Solver, Programming language and Implementation.
His Mathematical optimization research is multidisciplinary, relying on both Algorithm and Network model.
His Network model research includes elements of Event, Maximum coverage problem and Orders of magnitude.
His work carried out in the field of Theoretical computer science brings together such families of science as Modeling software and Global optimization.
His research links Computational science with Solver.
William E. Hart has researched Programming language in several fields, including Decision variables and Simple.
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